657 Artificial Intelligence (AI) Jobs in India

Job Description: Python + AI

Company: Wissen Technology

Location: Bangalore, India

Experience: 5+Years

Employment Type: Full-Time

Role: Python + AI / Data Engineer

About the Role

Wissen Technology is looking for experienced Python + AI / Data Engineering professionals to join our technology team in Bangalore. The ideal candidate will have strong hands-on experience in Python, Artificial Intelligence, Generative AI, PySpark, Snowflake, and data pipeline development.

The candidate should be capable of designing and developing scalable data and AI solutions, building robust ETL/ELT pipelines, working with large datasets, and integrating AI/ML capabilities into enterprise applications.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Python and PySpark.
• Develop robust ETL/ELT pipelines for processing large volumes of structured and unstructured data.
• Build and optimize data processing solutions using Apache Spark / PySpark.
• Develop data ingestion and transformation pipelines into Snowflake.
• Design and implement scalable Snowflake data models, tables, views, and SQL transformations.
• Work with batch and, where applicable, real-time data processing pipelines.
• Build and integrate AI and Generative AI solutions using Python.
• Develop LLM-based applications, RAG solutions, AI agents, and AI-powered services.
• Integrate AI models with enterprise data platforms and data pipelines.
• Develop REST APIs and microservices using FastAPI, Flask, or Django.
• Perform data cleansing, transformation, validation, and quality checks.
• Optimize PySpark jobs, SQL queries, Snowflake workloads, and data pipelines for performance and scalability.
• Implement data pipeline monitoring, logging, error handling, and alerting.
• Work with cloud platforms such as AWS, Azure, or GCP.
• Collaborate with Data Scientists, Data Engineers, Software Engineers, Architects, and business stakeholders.
• Participate in technical design, architecture, code reviews, and production support.
• Mentor junior engineers and contribute to engineering best practices.

Preferred Qualifications

• Bachelor's or master's degree in computer science, Engineering, Data Science, Artificial Intelligence, or a related field.
• Experience working on enterprise-scale AI and data engineering projects.
• Experience combining Python + PySpark + Snowflake + AI/GenAI in production environments.
• Experience with Databricks is an advantage.
• Experience with AI Agents / Agentic AI and tool/function calling.
• Knowledge of distributed systems and cloud-native architecture.
• Experience leading technical initiatives or mentoring engineering teams.

About Peaceful Loans:

Peaceful Loans is an independent home loan advisory for people buying property above ₹2 crore. Banks have products to sell and brokers have commissions to chase. We have neither, so we can look at a client's whole financial picture and tell them what loan structure actually makes sense for them, drawing on the products of 80+ public sector banks, private banks and NBFCs. Founded by an IIM Calcutta alumnus, on the belief that every buyer deserves straight answers.

The role:

Peaceful Loans is hiring AI Video Creator Interns for our creative team. You'll work primarily on story-based series content: recurring, episodic short-form video for our social channels, built with AI generation tools rather than traditional shoots. We provide the scripts; your job is to turn them into finished video.

We're not looking for someone who has played around with AI video. We want someone who already creates good quality content with it.

What you'll do:

• Take a script we give you and produce the video end to end: shot planning, prompting, generation, editing, delivery.

• Keep characters, settings and visual style consistent from one episode to the next.

• Handle post-production: editing, captions, sound design, music, exports.

• Work with marketing on briefs and with compliance on claims before anything goes live.

What we need

• Hands-on experience with AI video models. Seedance, Kling, Veo, Runway, Hailuo or similar. You should know text-to-video and image-to-video, multi-shot prompting, camera direction, and how to keep a subject consistent across a sequence.

• Proficiency with editing tools. Fluent in at least one of Premiere Pro, DaVinci Resolve, After Effects or CapCut.

• Multiple AI tools, and the judgment to pick the right one for a given shot. We also work with image and voice tools such as Midjourney, Flux and ElevenLabs.

• A portfolio of AI video you personally made. This matters more than your CV.

• A sense of story and short-form pacing, and real care about accuracy. We're a lending business, so nothing goes out with an invented number or a promise we can't keep.

Added advantage: familiarity with writing or reworking scripts, experience creating finance-related content, motion graphics, ComfyUI, or content in Indian languages.

The details

• Remote, full-time

• 1 month to start, extended based on performance

• ₹10,000 fixed plus ₹5,000 variable per month, with the variable component linked to performance

• Start date: immediate

• Once you join, we provide paid access to the generation and editing software you'll need

How to apply

Please apply via this google form: https://forms.gle/L9qjf1E8FAZGUDn88

Shortlisted candidates will be given a short paid test brief: produce a one-minute video from a script we provide, using any models you prefer. We assess you on the output, not on which tools you used. We pay for this regardless of whether we hire you.

Our mission at Matterway is to eliminate friction in digital processes.

Through real-time automation and decision augmentation, we help users work more efficiently, reduce errors, and achieve better outcomes.

We are looking for a hands-on, client-focused problem solver to join our delivery team. You will work closely with enterprise clients to understand their processes and turn business challenges into intuitive automation and AI solutions.

Working at the intersection of client partnership, process discovery, and solution design, you will create solutions that deliver measurable value. You will also contribute to the evolution of Matterway's automation offering and help shape how agentic AI is applied to the future of work.

As part of our international team across Europe and India, you'll thrive in a fast-paced, startup-like environment where priorities evolve quickly, building trusted client relationships and turning ideas into practical solutions.

Responsibilities

• Own end-to-end delivery of automation & AI solutions for enterprise clients. You are the single point of accountability for deliverables, timelines, budgets and overall project success.
• Analyse business pain points and design intuitive experiences and interfaces that your users will love.
• Create detailed wireframes, mockups, and user stories, and work closely with developers to bring your vision to life.
• Use analytics to measure success after go‑live and ensure your solutions deliver real business impact.
• Build lasting client relationships that drive expansion and referrals.

What we are looking for

• 5+ years in client-facing roles where you've managed complex projects.
• Strong skills in business analysis, UI/UX, and project management.
• An undeniable sense of ownership: you're driven by results, not just tasks.
• Excitement about working in a fast‑paced, startup‑like environment.
• Exceptional written and verbal English. Other languages, especially German, are a plus

What You’ll Do

• Animate high-retention Reels & Shorts
• Create motion typography
• Design high-conversion carousel creatives
• Support game art & UI assets
• Collaborate with writers and strategists
• Use AI tools to accelerate production
• Deliver projects in a fast-paced environment

What We’re Looking For

Core Skills

• Adobe After Effects
• Motion Typography
• Animation Principles
• Adobe Premiere Pro
• Photoshop / Illustrator
• Composition
• Storytelling

Bonus Skills (Optional)

• Trapcode
• Element 3D
• Blender
• Cinema 4D
• AI Video Tools
• Game Art

Job Summary/ Job Opportunity:

This is an excellent opportunity for an ideal candidate with a high level of technical proficiency and meeting the below mentioned criteria -- • Strong experience in Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs). • Hands-on experience building and deploying production-grade solutions using Azure OpenAI, OpenAI, LangChain, LangGraph, Semantic Kernel, LlamaIndex, and Agentic AI frameworks. • Strong expertise in Python, API development, microservices, and cloud-native architectures. • Experience designing and implementing RAG solutions, vector databases, embeddings, knowledge retrieval systems, and AI copilots. • Experience with Azure cloud services, MLOps, CI/CD pipelines, monitoring, and model lifecycle management. • Strong understanding of AI governance, responsible AI, security, compliance, and model evaluation frameworks. • Ability to lead technical discussions, provide architectural recommendations, mentor team members, and interact with business stakeholde

Key Objectives and Major Responsibilities:

• Design, develop, and implement scalable AI/ML and Generative AI solutions for enterprise applications. • Lead development of intelligent applications leveraging LLMs, RAG pipelines, AI agents, and document intelligence solutions. • Collaborate with business stakeholders, architects, and product teams to translate business requirements into technical solutions. • Design and optimize data pipelines, vector search solutions, embeddings, and retrieval mechanisms. • Build and maintain REST APIs, microservices, and cloud-native AI applications. • Ensure best practices in coding standards, performance optimization, security, scalability, and maintainability. • Drive AI solution deployment using MLOps practices, CI/CD pipelines, monitoring, and observability frameworks. • Perform code reviews, mentor junior developers, and contribute to capability building within the team

Key Capabilities and Competencies:

Knowledge, Skills, Qualification and Experience

• Degree in B.Tech/M.Tech (Computer Science/IT/Data Science) or related discipline preferred, with 3–4 years of relevant experience in AI/ML, GenAI and total 5-7 years of experience. • Proficiency in Python and hands-on experience with ML libraries (scikit-learn, TensorFlow, PyTorch) and GenAI frameworks/tools. • Strong understanding of machine learning, deep learning, LLMs, prompt engineering, and techniques like RAG and fine-tuning. • Experience with data processing, embeddings, vector databases, APIs, and building scalable AI driven applications. • Good communication skills, ability to work on multiple projects, and eagerness to learn and adapt to evolving AI technologies. 

Job Description: Tech Lead – AI & Technology

Role Title: Tech Lead – AI & Technology

Location: Bangalore, India – Fully On-site

Experience: 5+ Years

Employment Type: Full-time

About the Role

We are looking for an experienced and hands-on Tech Lead to lead a small engineering team and drive the development of AI-powered applications, internal technology platforms, and modern IT solutions. The Tech Lead will be responsible for technical direction, architecture, development, code quality, team management, and end-to-end delivery of technology projects. The ideal candidate should have strong programming experience, particularly in Python and ReactJS, along with practical experience working with AI/ML technologies.

1. Technical Leadership & Team Management

• Lead and mentor a team of developers and technical team members.
• Own technical delivery across multiple projects and initiatives.
• Assign tasks, review progress, resolve technical blockers, and ensure timely delivery.
• Conduct code reviews and establish engineering best practices.
• Mentor team members and support their technical growth.

2. Software Development & Architecture

• Design and develop scalable, secure, and maintainable applications.
• Lead backend development using Python and frontend development using ReactJS.
• Define application architecture, technology choices, APIs, integrations, and development standards.
• Review technical designs and ensure high-quality implementation.
• Troubleshoot complex technical issues and drive effective solutions.

3. AI & Technology

• Lead the development and integration of AI-powered applications and solutions.
• Work with AI/ML models, APIs, LLMs, Generative AI, and related technologies.
• Evaluate emerging AI tools and technologies and identify opportunities for practical implementation.
• Collaborate with product and business teams to translate requirements into AI-enabled technology solutions.

4. Project Delivery

• Own the complete technology lifecycle from requirements and architecture to development, testing, deployment, and maintenance.
• Plan sprints, estimate development efforts, and track technical milestones.
• Work closely with cross-functional stakeholders to understand requirements and deliver solutions.
• Ensure projects meet timelines, quality standards, security requirements, and performance expectations.

5. Engineering Quality & Infrastructure

• Establish standards for coding, testing, documentation, version control, and deployment.
• Ensure applications are scalable, reliable, and secure. l Collaborate on cloud infrastructure, APIs, databases, CI/CD, and deployment processes.
• Identify opportunities to improve system performance and engineering efficiency.

Technical Skills – Must Have

• 5+ years of software development experience.
• Strong hands-on experience with Python.
• Strong experience with ReactJS / React.
• Experience leading or managing technical team members.
• Strong understanding of AI/ML and Generative AI technologies.
• Experience with APIs, databases, Git, and software development lifecycle.
• Strong understanding of application architecture and system design.
• Experience building and deploying production-grade applications.

Technical Skills – Good to Have

• Experience with LLMs, RAG, AI agents, or Generative AI applications.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with Docker, CI/CD, and DevOps practices.
• Experience integrating third-party AI APIs and services.
• Experience working in startups or fast-paced technology environments.

What We Are Looking For

• Strong technical ownership and problem-solving ability.
• Ability to balance hands-on coding with team leadership.
• Excellent communication and stakeholder management skills.
• Ability to mentor developers and drive accountability within the team
• Strong interest in AI and emerging technologies.
• A proactive, ownership-driven approach with the ability to work in a fast-paced environment.

Why Join Us?

• Work on AI-powered technology with meaningful social impact.
• Lead a small, high-ownership technology team.
• Work across AI, software engineering, and modern IT infrastructure.
• Opportunity to shape technology architecture and engineering practices from the ground up.
• Collaborative and fast-moving environment with significant technical ownership.

About Us

Corporate Web Solutions provides technology and digital transformation solutions with an emphasis on emerging technologies including artificial intelligence and machine learning.

Role Overview

As an AI & Machine Learning Intern, you'll gain practical experience working with datasets, machine learning models, AI concepts, and Python-based tools.

Key Responsibilities

• Prepare and analyze datasets.
• Assist in developing machine learning models.
• Experiment with AI and ML algorithms.
• Evaluate model performance.
• Work with Python and relevant libraries.
• Participate in practical AI/ML projects.

Requirements

• Basic Python programming knowledge.
• Understanding of machine learning fundamentals.
• Basic knowledge of data handling.
• Familiarity with NumPy and Pandas is a plus.
• Eagerness to learn AI technologies.

Perks

• Certificate of Internship
• Flexible work hours
• Mentorship and real project exposure
• Potential for PPO
• Letter of Recommendation
• Performance-Based Stipend available up to ₹18,000/month

About Us

Corporate Web Solutions is a dynamic digital agency specializing in web development, UI/UX design, and digital transformation services for startups, SMEs, and enterprises. Our collaborative environment encourages innovation, practical learning, and exposure to real-world digital projects.

Role Overview

As an AI-Powered Full Stack Web Developer Intern, you'll work with our development team to build and improve modern web applications while exploring AI-assisted development workflows.

Key Responsibilities

• Assist in developing responsive web applications using frontend and backend technologies.
• Work with HTML, CSS, JavaScript and modern frameworks.
• Develop and integrate APIs and databases.
• Debug, test, and optimize web applications.
• Use AI-powered development tools to improve productivity.
• Participate in practical projects and team discussions.

Requirements

• Basic understanding of HTML, CSS, and JavaScript.
• Familiarity with frontend or backend development.
• Basic understanding of databases and APIs.
• Knowledge of React, Node.js, or similar technologies is a plus.
• Eagerness to learn AI-assisted development.

Perks

• Certificate of Internship
• Flexible work hours
• Mentorship and real project exposure
• Potential for PPO
• Letter of Recommendation
• Performance-Based Stipend available up to ₹18,000/month

Job Description

Position Title: Assistant Digital Marketing Manager

Role Type: Full-time | Individual Contributor

Department: Marketing

Location

Ahmedabad, Gujarat|On-site

Job Overview

We are looking for a highly driven, analytical, and hands-on Assistant Digital Marketing Manager to lead and execute our multi-channel digital growth strategies. Operating as a core individual contributor, you will take full end-to-end ownership of lead generation, marketing campaigns, search engine & generative engine optimization (SEO/GEO), social media management and outreach initiatives.

If you are a self-starter who thrives in a data-driven environment and excels at driving marketing-qualified leads (MQLs) through impactful digital execution, this role is for you.

Key Responsibilities

1. Lead Generation & MQL Pipeline

• Plan, execute, and optimize end-to-end multi-channel marketing campaigns focused on driving high-quality Marketing Qualified Leads (MQLs).
• Build and maintain lead conversion funnels, working continuously to improve lead quality, cost-per-acquisition (CPA), and pipeline conversion rates.
• Collaborate closely with sales/business development teams to align lead criteria, qualify MQLs, and refine lead-nurturing workflows.

2. Campaigns & Performance Marketing

• Directly design, set up, manage, and scale acquisition campaigns across channels (e.g., Google Ads, LinkedIn Ads, Meta Ads, etc.).
• Actively monitor daily campaign performance, budget utilization, and bid strategies to maximize return on ad spend (ROAS).
• Perform continuous A/B testing on ad copies, creatives, audiences, and landing page messaging to optimize click-through and conversion rates.

3. SEO & Generative Engine Optimization (GEO)

• Manage on-page, off-page, and technical SEO strategies to drive sustainable organic traffic growth.
• Implement cutting-edge GEO (Generative Engine Optimization) tactics to ensure brand visibility within AI-driven search environments (e.g., ChatGPT, Perplexity, Google Search Generative Experience/AI Overviews).
• Perform key phrase research, content optimization, and link-building strategies.

4. Social Media Marketing & Outreach

• Own and manage organic social media channels, developing engaging visual and written content that reinforces brand authority.
• Execute targeted outbound outreach strategies (e.g., cold outreach campaigns, partnership co-marketing, and influencer/industry network connections) to broaden brand reach.
• Track engagement, reach, and conversion metrics across all social profiles.

5. Data-Driven Analytics & Reporting

• Utilize marketing analytics platforms (e.g., Google Analytics 4, CRM platforms, platform-native ads managers) to track and analyze campaign performance in real time.
• Build actionable weekly and monthly performance dashboards highlighting key metrics (MQL volume, CPA, CTR, ROAS, pipeline impact).
• Leverage data and performance insights to continually iterate and pivot strategies for maximum impact.

Key Requirements & Qualifications

• Experience: 3–5 years of hands-on experience in performance marketing, digital lead generation, and digital channel management.
• Hands-on Execution: Proven track record as a self-sufficient individual contributor capable of executing campaigns from scratch without agency reliance.
• Core Skills:
• Demonstrated capability in driving MQLs through paid and organic channels.
• Hands-on experience managing PPC/Paid Social campaign setups and budgeting.
• Solid understanding of traditional SEO combined with awareness/experience in GEO strategies.
• End-to-end webinar management and digital outreach experience.
• Advanced proficiency with Google Analytics (GA4), marketing automation/CRM systems (e.g., HubSpot, Salesforce), and ad platforms.
• Mindset: Highly analytical, data-oriented, curious, and comfortable working independently in a fast-paced environment.

Job Description: 

Lead regional transformation programs, driving the entire solution architecture lifecycle, 

from conceptualization to execution, with a focus on agile and DevOps practices. 

Accountable for leading the IT Architecture for all projects and programs, focusing on 

innovative business and IT solutions in the insurance domain, such as new-age digital 

platforms, cloud-native applications, AI/ML-powered decision-making, and data-driven 

insights.

Preferred skills  

• Demonstrated expertise in developing cloud-native, microservices-based, and API

driven insurance solutions, leveraging modern architectural patterns and emerging 

technologies such as AI/ML, big data, and IoT. 

• Thorough understanding of common patterns, frameworks, and reference 

architectures for the Insurance domain, with a focus on digital transformation and 

innovation. 

• Proven experience in leading regional transformation programs, driving the adoption 

of agile and DevOps practices. 

• Asia regional experience is an advantage.

Qualifications 

Minimum Bachelor's degree, preferably with a Master's degree in Computer Science, 

Engineering, or a related discipline. 

• 15+ years of IT experience, with a minimum of 7+ years in the insurance industry, 

focusing on the application of emerging technologies.

Job Title: Business Development Executive – AI Consulting SalesLocation: Hyderabad (Work from Office)

Experience: 3 – 5 Years

Our client is a forward-thinking AI consulting firm dedicated to solving complex business challenges through cutting-edge Artificial Intelligence solutions. They partner with enterprises to identify opportunities, design strategies, and deliver measurable outcomes through AI-led transformation.

About the RoleWe are looking for a dynamic Business Development Executive – AI Consulting Sales to join our growing Hyderabad team. The ideal candidate will identify business opportunities, build strong client relationships, and manage the end-to-end sales cycle for our AI consulting services. The role requires someone who can confidently engage with clients at a strategic level while possessing a solid understanding of AI concepts and consulting frameworks.

Responsibilities:Proactively identify prospective clients and understand business needs, challenges, and AI consulting opportunities.

• Map client pain points to AI consulting capabilities and service offerings.
• Own the complete sales cycle from prospecting, pitching, proposal development, negotiation, to closure.
• Act as the Single Point of Contact (SPOC) for client requirements, ensuring seamless communication.
• Build and maintain long-term relationships with key stakeholders and decision-makers.
• Collaborate with technical and delivery teams to develop tailored solutions and compelling proposals.
• Stay updated on AI trends, industry use cases, and the competitive landscape.
• Maintain accurate sales pipeline, CRM records, and client interactions.
• Achieve assigned revenue targets and business development KPIs.

Requirements: 3 – 5 years of B2B consulting sales experience.

• Proven track record of selling consulting services (not product sales).
• Working knowledge of Artificial Intelligence, Machine Learning, or related technologies.
• Ability to engage in technical discussions and understand AI terminology.
• Strong communication, presentation, negotiation, and relationship management skills.
• Self-motivated, target-driven, and capable of working independently.
• Experience managing complete B2B sales cycles.
• Bachelor's degree in Business, Technology, or a related field (MBA preferred).

• Good to HaveExperience in AI, Data, or Technology Consulting firms.
• Exposure to enterprise accounts and C-suite stakeholder management.
• Understanding of AI project scoping, consulting engagements, and delivery models. 

Data Science (SME)

FACE Prep is India’s leading employability and industry-aligned education company. For over 17 years, we have partnered with higher education institutions to bridge the gap between academia and industry.

● Worked with 2,000+ colleges and universities across India

● Trained 6+ million students across disciplines

● Market leaders in:

● Employability skills & placement readiness

● Industry-aligned academic papers(credit-bearing)

● Full-scale industry-aligned degree programs with universities

● Pan-India operations, headquartered in Coimbatore

● Young, energetic, mission-driven team

● Fast-growing organization with headcount expected to cross 1,000 employees in the next financial year

At FACE Prep, people are the platform on which outcomes are built.

Position: Data Science (SME)

Location: Coimbatore

Duration: Full-Time

Department: Training & Development

Experience: Minimum 2 Years

Role Description :

The Data Science Subject Matter Expert (SME) is a full-time, on-site role based in Coimbatore. The SME will design and deliver data science curricula, including lectures, hands-on labs, and project-based learning for students preparing for tech careers. Daily responsibilities include creating educational content, developing problem sets and case studies, mentoring learners on data analysis and model-building, and reviewing student work to provide constructive feedback. The SME will collaborate with other trainers and the product team to align content with current industry practices and hiring requirements. The role also involves analyzing learner performance data, refining teaching strategies, and occasionally contributing to workshops, bootcamps, and online learning materials.

Requirements:

• Strong foundation in Statistics and Data Science, with the ability to explain complex concepts clearly and practically.

• Hands-on experience in Data Analytics and Data Analysis, including working with real-world datasets and deriving actionable insights.

• Excellent Analytical Skills for problem-solving, designing assignments, and guiding learners through data-driven decision-making.

• Proficiency in common data science tools and languages (e.g., Python/R, SQL, data visualization tools such as Tableau/Power BI).

• Prior experience in teaching, mentoring, corporate training, or curriculum development is highly beneficial.

• Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, Data Science, or related discipline.

• Ability to communicate effectively with diverse learner groups and collaborate within a multidisciplinary team.

• Exposure to machine learning concepts, model evaluation, and deployment practices is a plus.

IMMEDIATE JOINERS REQUIRED

Senior AI Engineer

Code Generation, Agent Architecture & LLM Systems

📍 Mumbai (On-site) | Full-time | 5+ years

About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

We are hiring a Senior AI Engineer for a dedicated client engagement focused on building an AI-powered application builder platform - a product where users describe software in plain English and the system generates, previews, and iteratively refines working code.

The mandatory requirement for this role is hands-on production experience shipping LLM-powered systems with agent architectures, with experience in code generation or developer tooling contexts a strong advantage.

The role is product-focused and deeply hands-on. You will own everything between the user's prompt and correct code landing in the project: the agentic loop, code generation pipeline, context management, evaluation suite, and model cost strategy.

You will work alongside the Senior MLOps Engineer who operationalises the infrastructure around your system, and collaborate closely with backend, frontend, and DevOps engineers.

Responsibilities:

Agent Architecture

Design and own the agentic loop for the platform - request interpretation, planning, tool-calling sequence (read file, edit file, run build, search code, install package), and stop conditions.

Make and revisit architectural decisions on single-agent vs. multi-agent designs, including planner/executor splits and dedicated build-repair sub-agents.

Code Generation Pipeline

Own the end-to-end generation flow: task classification, context gathering, planning, targeted edits, verification, and commit.

Implement diff/search-replace-based file editing with fuzzy matching and fallback strategies.

Enforce scope discipline so the agent makes minimal diffs and does not modify code it was not asked to touch.

Self-Repair Loop

Build and tune the automated repair loop that pipes compiler, lint, build, and runtime errors back to the model with retry budgets and model escalation.

This loop is the primary quality lever - the difference between 60-70% and 90%+ build success rates.

Context Management

Build file-relevance retrieval so the agent sees the right files, not the whole codebase: dependency graphs, AST/tree-sitter-based chunking, embeddings, recency signals, and hybrid retrieval.

Implement conversation summarisation and memory for long sessions, and address long-project degradation through codebase summaries and periodic consistency passes.

Own token budgeting and prompt caching strategy.

Prompt Engineering as a Discipline

Own the system prompt and per-task prompt variants (new feature, bug fix, styling change).

Maintain few-shot examples and enforce coding conventions, stack rules, and prohibited behaviours such as no hardcoded secrets and no whole-file rewrites.

Version prompts like code with changelogs and rollback capability.

Evaluation and Quality Measurement

Design and own the evaluation suite: representative test prompts run on every prompt and model change, scored on build success rate, instruction adherence, and output quality including LLM-as-judge and visual/screenshot checks where relevant.

Define regression gates that block quality-degrading changes from shipping.

Treat evals the way engineers treat automated testing: versioned, automated, and tracked over time.

This responsibility is non-negotiable at this level.

Model Strategy and Cost

Design model routing - cheap and fast models for classification and small edits, frontier models for complex generation.

Drive cost optimisation through prompt caching, diff-based edits over full-file rewrites, and tighter context selection.

Track cost per agent run and tokens per task; evaluate new model releases against the eval suite and lead migrations when results justify it.

Safety and Reliability of Agent Behaviour

Defend against prompt injection from user content and fetched web content.

Ensure secrets never appear in generated client code.

Define what the agent's tools may and may not do in collaboration with the platform team.

Contribute to output moderation and abuse-pattern awareness.

Mentorship and Engineering Standards

Run code reviews, define engineering conventions for AI work, and raise the engineering bar across the AI team.

Work closely with the Senior MLOps Engineer on handoff of eval design, prompt configurations, and model routing logic.

Requirements:

Hands-on Production Ownership of LLM-Powered Systems with Agent Architectures (Mandatory)

Must have personally shipped and operated at least one complex production AI system - agentic, multi-step, or code generation - with end-to-end ownership of architecture, evaluation, and cost.

POCs, internal demos, and tutorial-grade work do not qualify.

5+ Years of Professional Software or AI Engineering Experience

With at least 3 years focused on LLM applications, AI engineering, or production AI systems.

Candidates with strong backend backgrounds and a clear, substantive pivot into LLM systems qualify.

Strong Python Proficiency and Service Development

Production-grade Python with FastAPI or equivalent: type hints, async patterns, streaming responses, testing, and packaging.

Not notebook-only.

Depth Across LLM APIs and Agent Systems

Production experience with at least two of OpenAI, Anthropic Claude, Google Gemini, or open-weight models (vLLM, Ollama, Together).

Production experience with at least one agent framework (LangGraph, CrewAI, AutoGen, LlamaIndex Agents) or hand-rolled equivalent.

Hands-on with tool calling, structured outputs, and multi-step reasoning.

Demonstrated, Systematic Evaluation Practice - Non-Negotiable

Must have built evaluation harnesses that gate production releases, not ad-hoc testing.

Hands-on with at least one of LangSmith, Langfuse, Promptfoo, Ragas, or DeepEval.

Candidates with no systematic answer to evaluation should not be considered at senior level regardless of other strengths.

Cost Discipline for Production AI

Track record of measurable cost optimisation on production AI features.

Able to speak in specifics: cost per request, savings achieved through caching or model routing, context reduction decisions.

AWS Working Knowledge

Hands-on with EC2, S3, IAM, and Docker.

Comfort with CI/CD workflows and deploying AI services.

Awareness of LLM Security Failure Modes

Familiar with prompt injection patterns, understands that system prompt rules alone are insufficient, and has experience with output validation and content safety in production.

Nice to Have

• Experience with AST/tree-sitter tooling, diff-based editing systems, or compiler-adjacent work
• MCP server authoring
• Open-source AI contributions
• Published technical writing on LLM systems
• Multi-modal model experience
• Fine-tuning exposure (LoRA, QLoRA, PEFT)

Job Description

MyOperator is building AI-driven conversational surfaces — chatbots and voicebots that handle real business conversations, run structured journeys, pull from knowledge bases, and hand off to human agents when needed. We're looking for a Product Manager to own this domain: someone who genuinely understands how LLMs and RAG (Retrieval-Augmented Generation) systems work, and can turn that understanding into product decisions — what to build, which model tradeoffs to make, and how to know if a chatbot or voicebot is actually working.

This is a technical AI product role. You'll be defining journeys, knowledge base behavior, and evaluation criteria for systems where outputs are probabilistic, not deterministic — so the ability to reason about model behavior, failure modes, and retrieval quality matters as much as classic product skills.

About MyOperator

MyOperator is a Business AI Operator platform that allows businesses, teams, and AI Agents to work in tandem for customer operations, i.e., handle Sales, Support, Escalation, Feedback, and Refund processes. With over 12,000+ businesses using our platform, we are the largest in the space.

MyOperator is built for people who want to work on ambitious problems at a meaningful scale. We value ownership, speed, critical thinking, and a bias for building things that create real customer and business outcomes. This is a high-expectation, high-learning environment where people are trusted to think independently, challenge ideas openly, move with urgency, and keep raising the bar as we build for long-term impact.

Key Responsibility Areas

• Own the conversational AI product roadmap — chatbot and voicebot journeys, knowledge base/RAG behavior, and model selection — writing specs that account for real LLM behavior and failure modes, not just ideal-case flows.
• Define and maintain how success is measured — partner with engineering to build and evolve eval systems that track quality (accuracy, containment, hallucination rate) so every release has a clear bar to clear.

Requirements — Must Have

• Strong practical understanding of how LLMs work — prompting, context windows, tool/function calling, and their real-world limitations in production systems.
• Solid understanding of RAG (Retrieval-Augmented Generation) systems — how retrieval, embeddings, and knowledge bases feed into model responses, and where these systems typically break down.
• Working knowledge of the AI model landscape — tradeoffs between models on cost, latency, and accuracy — and how to translate that into build/model-selection decisions for a product.
• Demonstrated ability to write specs for AI-driven product surfaces (chatbot/voicebot journeys, escalation/handover logic) that explicitly account for probabilistic model behavior and edge cases.
• 4+ years as a Product Manager, with meaningful hands-on time owning an AI/LLM-powered product end to end.

Requirements — Good to Have

• Hands-on background building or shipping chatbots or voicebots — design, integrations, and deployment.
• Experience designing conversational journeys — structured, multi-step dialogue or task flows for chat or voice agents.
• Experience building or defining eval systems/frameworks to measure chatbot or voicebot success (e.g., accuracy, containment rate, hallucination rate).
• Familiarity with prompt engineering and iterating on prompts/journeys based on eval results.
• Experience designing human-handover or escalation flows between a bot and a live agent.

This profile is not for

• Candidates who treat "AI feature" as a checkbox without understanding how LLMs and RAG systems actually behave in production, including their failure modes.
• Candidates focused purely on traditional, deterministic software product work with no interest in model behavior, prompt design, or evaluation methodology.
• Candidates uncomfortable with ambiguity — AI product behavior is probabilistic, and specs need to account for that rather than assume fixed outcomes.

About the Role

We are looking for a hands-on Applied AI / Full Stack Engineer to build AI-powered products and experiences. The ideal candidate should be comfortable working across AI, backend, and frontend and taking features from idea to production.

Key Responsibilities

• Build and deploy AI/LLM-powered applications and features.
• Develop AI agents, RAG pipelines, tool/function-calling workflows and integrations.
• Build scalable backend APIs and services.
• Develop frontend applications using React/Next.js.
• Integrate LLMs such as OpenAI, Claude, Gemini, etc.
• Work with databases, cloud platforms and production deployments.
• Collaborate with product and design teams and take ownership of features end-to-end.

Must-Have Skills

• 3–6 years of software engineering experience.
• Strong Python and/or TypeScript/Node.js.
• Strong React.js / Next.js / TypeScript experience.
• Hands-on experience with LLMs / Generative AI.
• Experience with RAG, AI Agents or tool/function calling.
• Experience building and deploying real-world products.
• Good understanding of APIs, databases and cloud deployment.

Good to Have

• LangChain / LangGraph / LlamaIndex
• PostgreSQL / Vector Databases
• AWS / GCP / Azure / Vercel
• Docker / CI/CD
• Experience in an early-stage startup or AI product company.

We are looking for builders who can take a problem, experiment, build, ship and improve it—not just candidates with AI keywords on their resume.

Junior PHP/Laravel Developer – Education ERP

Experience: 1–3 Years

Employment Type: Full-Time

Location: Remote

We are looking for a Junior PHP/Laravel Developer with hands-on experience in Core PHP, Laravel, and MySQL. The candidate will work on Education ERP/EdTech applications, developing new features, fixing bugs, handling databases, and supporting existing applications.

Key Responsibilities

• Develop and maintain web applications using Core PHP and Laravel.
• Write and optimize MySQL/SQL queries and perform database operations.
• Develop and maintain ERP/EdTech modules and features.
• Create and integrate REST APIs and third-party services.
• Debug and resolve application issues and bugs.
• Understand existing codebases, database structures, and data flow.
• Follow coding standards, Git practices, and development best practices.
• Coordinate with senior developers to complete assigned tasks on time.

Required Skills

• Core PHP & Laravel
• MySQL / SQL
• Database relationships, joins, CRUD, and query optimization
• HTML, CSS, JavaScript & jQuery
• REST APIs and API integration
• Basic Git/version control
• Good debugging and problem-solving skills
• Ability to understand and work with an existing codebase

Preferred Experience

Experience with any of the following will be an advantage:

• Education ERP / EdTech
• LMS / School / College Management Systems
• Admission & Student Management
• Fee Management
• Examination Modules
• HRMS
• Finance Modules

Qualifications

B.Tech/B.E. (CS/IT), BCA, MCA, or equivalent qualification with relevant development experience.

What We Offer

• Remote Work
• Opportunity to work on Education ERP products
• Learning and professional growth opportunities
• Exposure to real-world enterprise applications
• Supportive development environment

About the Role:

We are looking for a Forward Deployed Engineer to work closely with customers and build technical solutions to solve real-world business problems.

This is a highly customer-facing engineering role, combining full-stack development, AI and solution engineering. You will work in ambiguous environments, take end-to-end ownership and turn customer requirements into working product solutions.

Key Responsibilities:

• Work directly with customers to understand technical and business requirements.
• Design, build and deploy full-stack solutions and product features.
• Integrate AI/LLM capabilities into applications and workflows.
• Troubleshoot technical challenges and develop practical solutions.
• Collaborate with product and engineering teams to deliver customer-focused solutions.
• Take ownership of projects from requirement gathering through implementation.
• Work effectively in fast-paced and ambiguous environments.

What We're Looking For:

• Experience as a Full Stack Engineer, Product Engineer, AI Engineer, Solutions Engineer, Solutions Architect or similar role.
• Strong understanding of both frontend and backend development.
• Experience building and contributing to real-world product features.
• Exposure to AI/LLMs, Copilots, AI automation or GenAI tools.
• Strong problem-solving and customer-facing communication skills.
• Ability to work independently and take ownership of outcomes.
• Comfortable working with evolving requirements and ambiguity.

Preferred Background

• Candidates from product/SaaS companies, AI startups, or modern technology environments are preferred.
• Experience working with product clients through a service-based organization will also be considered, provided you have strong hands-on product engineering experience.
• Important: This is not a backend-only role. Strong full-stack exposure and the ability to work directly with customers are essential.

Role Overview

The Principal Architect leads Byteridge’s Technology Strategy & Solutions Group (TSS). This is a senior, visible role responsible for defining technology point-of-view, shaping solution narratives, guiding enterprise conversations, and influencing revenue through differentiated thinking.

The Architect owns thought leadership, reference architectures, solution accelerators, and selective engagement on high-impact deals.

Key Responsibilities

• Own, enhance & execute Byteridge’s technology strategy across priority areas (Cloud, Data, Gen AI, Modernization).
• Create and maintain enterprise-grade reference architectures, solution blueprints, PoCs and accelerators.
• Lead strategic discovery workshops and executive-level solutioning for priority opportunities.
• Partner with Content Marketing to translate technical POVs into blogs, whitepapers, decks, webinars, and sales narratives.
• Enable the Enterprise Account Executive with differentiated solution stories and technical credibility.
• Build strong partnerships with Byteridge delivery teams to identify high-impact solutions and projects that can be leveraged as compelling capability showcases for existing customers and prospective clients.
• Work with Delivery Team Architects to influence delivery standards and architectural consistency across teams.
• Research market and industry trends across technologies, popular enterprise solutions, and buyer adoption patterns. Go deep into selected domains and verticals to continuously refine Byteridge’s technology strategy, solution approaches, and positioning.
• Act as a visible external voice through talks, webinars, and published content.

Ideal Profile

• 13–20 years of experience across technology architecture, solutioning, or technology consulting roles.
• Demonstrated ability to research and synthesize market trends, emerging technologies, and popular enterprise solutions.
• Experience developing deep expertise in specific domains or industry verticals and translating that into solution strategies.
• Strong background in modern software engineering, cloud platforms, data, AI, and enterprise systems.
• Proven track record of influencing client decisions and shaping solution direction, not just designing systems.
• Comfortable working at the intersection of technology, business strategy, marketing, and sales.
• Excellent communication skills with executive presence and the ability to articulate complex ideas clearly.

Success Metrics (KPIs)

• Quarterly technology and market POVs produced and adopted internally or externally.
• Creation and reuse of reference architectures, solution frameworks, and accelerators across deals.
• Number of high-impact delivery projects converted into capability showcases and sales assets.
• Influence on strategic opportunities, measured through deal quality, size, and AE feedback.
• Thought leadership visibility through blogs, webinars, talks, or industry participation.
• Internal adoption of architectural standards and solution approaches by delivery teams.

About the Role

We are looking for a high-energy, research-driven, and execution-focused Sales Development Representative (SDR) to build qualified sales pipeline through outbound prospecting and lead qualification.

This role is responsible for identifying target accounts, engaging decision-makers through personalized outreach, qualifying opportunities, and scheduling meetings for the Account Executive team. You will play a critical role in building the top of Comprinno's sales funnel and creating predictable pipeline growth.

The ideal candidate is persistent, curious, highly organized, and comfortable engaging technology leaders through multiple communication channels. You should enjoy researching companies, uncovering business opportunities, and creating meaningful conversations that translate into qualified sales opportunities.

Key Responsibilities:

Prospecting & Account Research

• Identify target accounts aligned with Comprinno's Ideal Customer Profile (ICP).
• Research companies, industries, and technology landscapes to identify potential cloud transformation opportunities.
• Map key decision-makers including Founders, CTOs, CIOs, VP Engineering, Engineering Managers, and IT leaders.
• Build and maintain high-quality prospect lists using CRM, LinkedIn, Apollo, Clay, and other prospecting tools.

Outbound Prospecting

• Execute structured outbound campaigns through:
• Email
• Cold Calling
• LinkedIn
• WhatsApp
• Personalized multi-channel outreach
• Personalize outreach based on customer industry, business priorities, and technology landscape.
• Execute disciplined follow-up cadences to maximize response and engagement rates.
• Continuously improve messaging based on campaign performance and customer feedback.

Lead Qualification

• Conduct initial discovery conversations to understand customer challenges, priorities, and technology initiatives.
• Qualify prospects based on predefined qualification frameworks and buying intent.
• Identify opportunities related to:
• Cloud Migration
• Cloud Modernization
• Managed Services
• Security
• Data & AI
• Generative AI
• Schedule qualified meetings for the Account Executive team with comprehensive handover notes.

Pipeline Contribution

• Consistently achieve weekly and monthly outreach, meeting, and SQL targets.
• Maintain high-quality pipeline creation across startup, ISV, mid-market, and enterprise segments.
• Monitor personal conversion metrics and continuously improve performance.
• Support Account Executives in achieving pipeline and revenue objectives.

CRM & Sales Operations

• Maintain accurate CRM records for all prospect interactions.
• Update lead status, qualification notes, follow-up actions, and meeting outcomes.
• Ensure excellent CRM hygiene and adherence to sales processes.
• Track personal KPIs and activity metrics.

Collaboration & Continuous Learning

• Work closely with Marketing to support outbound campaigns and account-based initiatives.
• Collaborate with Account Executives, Presales Engineers, and Sales Leadership to improve lead quality.
• Share customer insights, objections, and competitive intelligence.
• Participate in coaching sessions, role plays, sales enablement, and product training.

Required Qualifications & Skills

• Bachelor's degree in Business, Engineering, Technology, Marketing, or related disciplines.
• 1–3 years of experience as an SDR or BDR
• Experience working in IT Services, Cloud Consulting, SaaS, or Technology Services organizations.
• Proven experience booking qualified meetings for the India market.
• Excellent written and verbal communication skills in English.
• Confidence in cold calling and outbound prospecting.
• Strong research and account-mapping abilities.
• Effective objection-handling and relationship-building skills.
• Strong attention to detail, CRM discipline, and process orientation.
• High energy, resilience, and execution focus.

Desired Qualifications & Skills

• Experience using SDR platforms such as Apollo, Clay, Outreach, Salesloft, HubSpot, LinkedIn Sales Navigator, or similar tools.
• Familiarity with AI-assisted prospecting, research, and outreach tools.
• Understanding of Cloud Computing, DevOps, AI, Cybersecurity, or Managed Services.
• Knowledge of B2B sales qualification methodologies.
• AWS Cloud Practitioner certification (or willingness to pursue certification).

What We're Looking For

• Strong curiosity and research mindset.
• High persistence and resilience.
• Excellent communication and listening skills.
• Strong organizational and time-management abilities.
• High ownership and accountability.
• Coachable with a continuous learning mindset.
• Ability to thrive in a fast-paced, target-driven environment.

What Success Looks Like

• Consistent achievement of weekly and monthly outreach, meeting, and SQL targets.
• High-quality lead qualification with strong acceptance rates from Account Executives.
• Excellent CRM hygiene and process compliance.
• Continuous improvement in response rates, meeting conversion, and qualification quality.
• Strong collaboration with Marketing, Presales, and Sales teams.
• Meaningful contribution to predictable pipeline generation and revenue growth.

Why Join Comprinno

• Work at the forefront of cloud innovation with one of the leading AWS consulting partners in the APJ region.
• Gain exposure to Cloud, DevOps, Managed Services, Data Analytics, and AI solution selling.
• Learn directly from experienced Sales Leaders, Presales Engineers, and Solution Architects.
• Accelerate your growth through structured coaching, AWS certifications, and continuous learning.
• Build expertise in enterprise technology sales and consultative selling.
• Join a collaborative, high-performance culture that values ownership, innovation, and customer success.

Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World's Best Employers 2025) is consistently listed among the most admired companies in the world. 

This role is part of Cognizant IOA (Intuitive Operations and Automation) — and more specifically, a product team with its own origin story. We started as Matterway, a German startup building automation software from scratch. We were acquired by Cognizant, but we kept our team, our culture, our pace, and our way of working. We move like a startup, think like a startup, and now do it with the backing of a global company. 

We combine human expertise with intelligent automation, ML operations, and digital experience solutions to help technology and digital-native companies build smarter, more adaptive operating models. 

What's the opportunity? 

We are looking for Senior Product Engineers to join our team. We're a tight crew of 5 senior engineers, from different corners of the world. We're hiring 3 more people, and those people will shape what this team becomes. 

We're building a platform to support the agentification of our operations. You'll work across a suite of products including a cloud platform for process optimization, desktop application, browser extension, and specialized AI agents. 

This is genuinely frontier work: we don't follow AI trends, we implement them. New model drops on a Monday; we've prototyped with it by Wednesday. 

We believe this is the most exciting time to join. Be part of the founding R&D talent in this area and help set the technical bar for everything that comes next. 

What will you be doing? 

Your day-to-day responsibilities: 

• Design and evolve the core architecture of our platform 
• Set technical standards and take ownership of complex projects end-to-end 
• Work on a well-architected, fast-evolving TypeScript codebase using technologies such as React, Node.js, Electron, and GraphQL 
• Collaborate with product managers, designers, and engineers to solve challenging technical and business problems, with real autonomy 
• Participate in the full development lifecycle: scoping, design, estimation, coding, testing, debugging, code reviews, maintenance, and support 
• Evaluate and implement proofs of concept using the latest AI tools and models 

You will know you're successful if: 

• You develop projects independently until they deliver their intended business value 
• You keep top-notch software quality standards about design, implementation, and documentation 
• You're the person who brings something new to the team's radar, a model, a technique, a tool, before anyone else has heard of it 

What makes you a great fit 

Must-haves: 

• Excellent English (C1+) with exceptional written and verbal communication 
• Strong proficiency with TypeScript across frontend and backend, including building and maintaining Node.js-based services 
• Experience in frontend development using modern frameworks such as Vue.js or React 
• Knowledge of any E2E testing framework such as Playwright, Puppeteer, Selenium, Cypress 
• Ability to work independently and take ownership of deliverables 
• Strong technical fundamentals, genuine intellectual curiosity, and a drive to keep getting better 
• You follow AI closely, not just as a user but as someone who reads the papers, watches the releases, and has opinions. You're excited about where this is going and want to be building at the edge of it 

Nice-to-haves: 

• Familiarity with AI-coding tooling (Claude Code, Cursor, OpenCode, etc.) 
• Experience with cloud infrastructure (AWS, Azure or GCP) and infra-as-code deployment 
• Having built or maintained CI/CD pipelines or workflows, especially GitHub actions 

Why join us? 

• Be at the cutting edge of AI agents and applying LLMs to real-world use cases, not in theory but in production 
• Work on hard problems with high agency: your ideas get heard; your decisions get shipped 
• Join a small but growing internationally distributed team. 
• giving you real influence over how it evolves 
• The resources of a global company with the speed and culture of a startup 
• Remote-first set-up, with the option to work from one of our 13 locations in India: Chennai, Bangalore, Hyderabad, Pune, Mumbai, Gurgaon, Noida, Kolkata, Kochi, Coimbatore, Bhubaneswar, Mangalore, and Indore 
• Flexible working hours 
• Collaborative, pragmatic engineering culture focused on outcomes 
• Fast-growing team within Cognizant, with access to global resources and real career opportunities 

Strong AI Engineer / Machine Learning Engineer profiles.

2

Mandatory (Experience 1) – Must have minimum 3+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.

3

Mandatory (Experience 2) – Must have strong hands-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production-grade ML applications.

4

Mandatory (Experience 3) – Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.

5

Mandatory (Experience 4) – Must have hands-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases.

6

Mandatory (Experience 5) – Must have experience working with Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, Phi, or similar foundation models.

7

Mandatory (Experience 6) – Must have hands-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions.

8

Mandatory (Experience 7) – Must have experience working with Git, CI/CD practices, production environments, and scalable AI/ML systems.

9

Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

10

Mandatory (Age) - Candidate's Age should be below 28 Years

Founding Full-Stack Engineer / Technical Lead — X.re

We are building X.re — an AI-first CRM built specifically for real estate companies.

X.re is not another generic CRM. It is being designed around the real estate sales funnel, with AI-powered WhatsApp conversations, AI voice, lead scoring, workflow automation and advertising intelligence built into the system.

The product is already being built and is currently being tested with a real estate pilot client.

We are now looking for a senior engineer who can take ownership of the existing codebase and help take it from AI-assisted development into a robust, production-ready SaaS product.

What you'll be doing

• Take ownership of an existing Next.js + TypeScript codebase.
• Understand the existing architecture, database structure, APIs and application flows.
• Conduct a thorough engineering review and identify production, security, scalability and reliability risks.
• Refactor and improve the code where required rather than blindly rewriting the system.
• Build and maintain production-quality frontend and backend features.
• Design and maintain APIs, database models and integrations.
• Work on a multi-tenant SaaS architecture where each real estate brand has its own workspace and data isolation.
• Work closely with AI/LLM-powered features including chat, voice and lead intelligence.
• Work on WhatsApp Business API integrations, webhooks and messaging infrastructure.
• Build reliable automation and workflow functionality.
• Implement proper authentication, authorization, data isolation, logging, monitoring and error handling.
• Help establish engineering standards, testing and deployment practices.
• Eventually build and lead the engineering team as X.re scales.

What we're looking for

We are looking for someone who has strong engineering judgment, not someone who simply knows a list of technologies.

You should be able to:

• Enter an unfamiliar codebase and understand it quickly.
• Identify what is well designed and what is technically risky.
• Take an MVP and turn it into production-grade software.
• Make pragmatic architectural decisions.
• Think about security, scalability, reliability and maintainability.
• Work independently and take ownership.
• Read and review code generated or assisted by AI.
• Know when AI-generated code is acceptable and when it needs to be redesigned.
• Build rather than just manage developers.

Technical requirements

Strong experience with:

• TypeScript
• Next.js / React
• Node.js
• REST APIs
• PostgreSQL / SQL
• Modern SaaS application architecture
• Cloud deployment
• Git and production development workflows

Experience with the following is a strong advantage:

• AI/LLM applications
• WhatsApp Business API
• Webhooks
• Multi-tenant SaaS
• API integrations
• Docker
• AWS or similar cloud platforms
• CI/CD
• Observability and production monitoring

One important thing

This is not a greenfield project.

The existing product has been built significantly with AI-assisted development.

We are specifically looking for an engineer who is comfortable inheriting an existing codebase, understanding it deeply, challenging its assumptions, fixing what needs fixing, and taking responsibility for making it production-ready.

You will not be expected to rewrite everything just because it wasn't originally written by you.

Why this role is different

You won't just be implementing tickets.

You'll have significant influence over:

• Engineering architecture
• Production readiness
• Technical standards
• Infrastructure
• AI integration strategy
• Product engineering decisions
• Future engineering team structure

If things go well, this role can grow into Head of Engineering / CTO-level ownership as X.re scales.

Location

Hyderabad preferred. Remote candidates across India may be considered for the right candidate.

Compensation

₹20–35 LPA + ESOP

Compensation will depend on experience and level of ownership.

• Develop python-based automation for large data sets data analysis for vulnerability management reporting.
• Leverage machine learning in the process as required.
• Develop Prompts to automate test data extraction process from databases.
• Provide technical expertise through a hands-on approach to teams and projects.
• Experience with one or more general purpose programming languages including but not limited to: Java, Python, R or equivalent
• Experience and knowledge in designing, building, and deploying multi layered application Infrastructure involving On-premises & AWS Cloud platform using services BedRock LLM models.
• Handle design, definition, planning and development.
• 100% adherence to architectural and development best practices including the use of standard architectures, proper use of code management, document design and design artifacts and conduct design/code reviews.
• Create optimization plans to innovate, shift-left, and mitigate gaps.
• Apply cloud concepts and capabilities to deliver testing for cloud-hosted apps.
• Report succinct testing goals and results to the leadership.
• Train and educate various teams on SV ideas and expectations.
• Expand responsibilities to drive test data, test environment, and service virtualization strategies.

About the Role

We're looking for a creative graphic designer who blends traditional design skill with AI tools to produce fast, high-quality visual content. Your specialty should include one or more of: caricature art, sound matching/audio syncing for video content, and motion graphics/animation.

What You'll Do

- Create caricature-style illustrations and character art

- Design and edit motion graphics/animated content

- Sync sound/audio to visual content (reels, videos, ads)

- Use AI design tools (e.g., Midjourney, Runway, Adobe Firefly, CapCut AI, etc.) to speed up and enhance creative output

- Collaborate with the team on brand and marketing visuals

What We're Looking For

- Proven experience with AI-assisted design tools

- A strong portfolio showcasing caricature, motion graphics, or sound-matched video work

- Open to learning marketing

- Comfortable working from our HSR Layout office

Greetings from zealous services!

Job Title: AI Video Creator – Generative AI & VFX

• Experience: 5+ Years
• Employment Type: Full-Time
• Location: [Chennai / Hybrid / Remote]
• Department: Creative / Production

About the Role

We are looking for a highly creative and technically skilled AI Video Creator with strong VFX experience to join our creative production team. The ideal candidate will have 5+ years of professional experience in video production, VFX, motion graphics, or digital content creation, along with hands-on expertise in emerging Generative AI video and image-generation technologies.

The candidate will be responsible for creating high-quality, visually compelling videos using a combination of AI-generated content, VFX, motion graphics, compositing, animation, editing, and traditional production techniques.

Key Responsibilities

• Create high-quality AI-generated videos, promotional content, advertisements, social media videos, product videos, and cinematic visuals. 
• Use Generative AI tools to create and enhance video, images, characters, environments, backgrounds, and visual effects. 
• Develop creative concepts, storyboards, visual references, and production approaches for video projects. 
• Combine AI-generated assets with VFX, compositing, motion graphics, animation, and video editing. 
• Perform green-screen/chroma keying, rotoscoping, tracking, masking, compositing, cleanup, color correction, and visual effects. 
• Create realistic and visually consistent AI-generated characters, environments, scenes, and sequences. 
• Work with text-to-video, image-to-video, text-to-image, video-to-video, and AI-assisted editing workflows. 
• Refine AI-generated footage to achieve professional, production-ready results. 
• Create seamless transitions, camera movements, cinematic effects, lighting effects, and other visual enhancements. 
• Edit and assemble footage using professional video-editing software. 
• Collaborate with creative directors, designers, marketers, and other production teams to understand project requirements. 
• Maintain visual consistency across multiple shots, scenes, and campaigns. 
• Stay updated with the latest developments in Generative AI, AI video models, VFX, animation, and creative-production technologies. 
• Experiment with new AI tools and workflows to improve production quality and turnaround time. 
• Manage multiple projects simultaneously while meeting deadlines and quality standards.

Required Technical Skills

Generative AI / AI Video

• Hands-on experience with AI video-generation platforms such as: 
• Runway 
• Kling 
• Veo 
• Pika 
• Luma 
• Sora or similar AI video platforms 
• Experience with AI image-generation tools such as: 
• Midjourney 
• Stable Diffusion 
• Adobe Firefly 
• Flux or similar platforms 
• Strong understanding of prompt engineering for visual content. 
• Experience creating consistent characters, environments, styles, and visual sequences using AI.

VFX & Post-Production

• Strong knowledge of: 
• Adobe After Effects 
• Adobe Premiere Pro 
• Photoshop 
• Experience with Nuke, DaVinci Resolve, Blender, Cinema 4D, Maya, or similar tools is an advantage. 
• Strong understanding of compositing, tracking, rotoscoping, masking, keying, color grading, and visual effects. 
• Knowledge of motion graphics and animation principles.

Required Experience

• 5+ years of professional experience in VFX, video production, motion graphics, animation, video editing, or a closely related field. 
• Proven experience creating professional-quality video content. 
• At least 1–2 years of hands-on experience working with Generative AI tools is preferred. 
• Strong portfolio/showreel demonstrating AI-generated videos, VFX, compositing, motion graphics, and creative video production. 
• Experience working on commercial, advertising, entertainment, social-media, product, or branded content is preferred.

Good to Have

• Experience with 3D modeling, texturing, lighting, and animation. 
• Knowledge of Blender, Cinema 4D, Maya, or Unreal Engine. 
• Experience integrating 3D assets with AI-generated footage. 
• Knowledge of AI workflows involving LoRA, ControlNet, Stable Diffusion, ComfyUI, or similar technologies. 
• Experience with cinematic storytelling and visual development. 
• Understanding of photography, cinematography, lighting, camera composition, and lens selection.

Key Skills

Generative AI | AI Video Creation | VFX | Video Editing | Motion Graphics | Compositing | Animation | Prompt Engineering | After Effects | Premiere Pro | Photoshop | AI Image Generation | AI Video Generation | Color Grading | Rotoscoping | Tracking | Chroma Keying

Candidate Profile

The ideal candidate is someone who is creative, technically strong, and excited about the intersection of AI and visual storytelling. They should be comfortable experimenting with new AI technologies while having a solid traditional foundation in VFX and video production.

The candidate must be able to take a concept from idea → storyboard → AI generation → VFX/compositing → editing → final production-ready video.

What We Offer

• Opportunity to work on AI-first creative video projects 
• Exposure to the latest Generative AI technologies 
• Opportunity to combine AI, VFX, 3D, animation, and traditional post-production 
• Creative and collaborative work environment 
• Growth opportunities in the rapidly evolving AI + Media + VFX space 

Portfolio/Showreel is mandatory. Candidates should provide examples demonstrating their AI video-generation and VFX capabilities.

Greetings from zealous services!

Job Title: AI Video Creator – Generative AI & VFX

Experience: 2–3 Years

Employment Type: Full-Time

Location: Chennai

Department: Creative / Video Production

Role Overview

We are looking for a creative and technically skilled AI Video Creator with VFX experience to join our creative production team. The ideal candidate will have 2–3 years of experience in video creation, VFX, motion graphics, animation, or post-production, along with hands-on exposure to Generative AI tools for creating images and videos.

The candidate will be responsible for developing engaging and visually appealing video content by combining AI-generated assets, VFX, motion graphics, animation, compositing, and video editing.

Key Responsibilities

• Create high-quality AI-generated videos and visual content for marketing, social media, advertisements, product videos, and creative campaigns.
• Use Generative AI tools for text-to-video, image-to-video, text-to-image, and video enhancement.
• Convert creative concepts and scripts into engaging visual content.
• Create AI-generated characters, environments, backgrounds, objects, and cinematic scenes.
• Combine AI-generated footage with VFX, motion graphics, animation, and traditional video footage.
• Perform basic to intermediate compositing, rotoscoping, masking, tracking, chroma keying, cleanup, and visual effects.
• Edit and assemble video sequences using professional editing software.
• Create smooth transitions, camera movements, cinematic effects, and other visual enhancements.
• Maintain consistency in characters, environments, lighting, colors, and visual style across multiple shots.
• Work closely with designers, creative teams, and project managers to understand creative requirements.
• Make revisions based on feedback and deliver projects within agreed timelines.
• Explore and test new AI video-generation tools and creative workflows to improve quality and production efficiency.
• Ensure all final videos meet required visual, technical, and quality standards.

Required Skills

Generative AI

Hands-on exposure to AI tools such as:

• Runway
• Kling
• Veo
• Pika
• Luma
• Midjourney
• Adobe Firefly
• Stable Diffusion / Flux
• Other emerging AI video and image-generation platforms

Experience with prompt engineering for generating images and videos is required.

VFX & Video Production

• Adobe After Effects
• Adobe Premiere Pro
• Adobe Photoshop
• Basic knowledge of DaVinci Resolve, Blender, Cinema 4D, Maya, or Nuke will be an advantage.
• Understanding of:
• Compositing
• Rotoscoping
• Motion tracking
• Masking
• Green-screen/chroma key
• Color correction
• Motion graphics
• Basic animation
• Video editing

Experience

• 2–3 years of professional experience in VFX, video editing, motion graphics, animation, digital content creation, or a related field.
• Practical experience creating videos using Generative AI tools.
• Experience working with After Effects and Premiere Pro.
• Ability to combine AI-generated content with conventional VFX and post-production techniques.
• Experience in advertising, social media, product videos, entertainment, branding, or digital content creation is preferred.

Good to Have

• Basic knowledge of 3D modeling and animation.
• Experience with Blender, Cinema 4D, Maya, or Unreal Engine.
• Familiarity with ComfyUI, ControlNet, LoRA, Stable Diffusion, or similar AI workflows.
• Understanding of cinematography, camera angles, lighting, composition, and storytelling.
• Experience creating short-form content for YouTube, Instagram, LinkedIn, and other social platforms.
• Ability to experiment with new AI tools and quickly learn emerging technologies.

Candidate Profile

The ideal candidate should be:

• Creative and visually driven
• Comfortable experimenting with new AI technologies
• Strong in visual storytelling
• Good at combining AI + VFX + video editing
• Detail-oriented with an eye for quality
• Able to work on multiple projects and meet deadlines
• Open to learning new AI tools and production techniques

Key Skills

AI Video Generation | Generative AI | VFX | Video Editing | Motion Graphics | After Effects | Premiere Pro | Photoshop | AI Image Generation | Prompt Engineering | Compositing | Rotoscoping | Motion Tracking | Chroma Keying | Animation

Portfolio Requirement

Portfolio / Showreel is mandatory.

Candidates should share examples of their work demonstrating:

• AI-generated videos
• VFX/compositing
• Motion graphics
• Video editing
• Creative visual content

Candidates with a strong combination of AI video-generation skills and traditional VFX expertise will be preferred.

Role: Principal AI Architect — Multimodal Video Intelligence

Location: India Remote, with overlap with Singapore working hours

Employment Type: Full-time

Reporting to: Founder / CEO

Function: AI Architecture, Multimodal AI, Video Intelligence, Media Representation

About the Client

The client is building an AI-native media intelligence platform that transforms long-form video into structured, searchable, reusable and monetisable media intelligence.

The platform is not simply a video-clipping tool. We are developing a persistent intelligence layer for media, where video, audio, speech, text, objects, scenes, events, entities, emotions, narrative arcs and commercial signals are processed into a reusable representation that can support multiple downstream use cases, including:

• short-form clip generation;
• semantic search;
• scene and narrative understanding;
• contextual advertising;
• shoppable video;
• creator and content analytics;
• automated editing workflows;
• future media-intelligence APIs.

We are looking for a Principal AI Architect who can define and guide the AI architecture behind this platform.

Role Summary

The Principal AI Architect — Multimodal Video Intelligence will own the technical architecture for AI systems, including multimodal video understanding, persistent media representation, model orchestration, evaluation frameworks, and production AI design.

This is a hands-on architecture role. The ideal candidate can move between research papers, model selection, system design, data schemas, prototype review, engineering trade-offs, and implementation guidance.

You will work closely with the Founder / CEO, senior AI engineers, computer vision engineers, backend engineers and external vendors to convert the product and IP vision into a robust technical system.

Key Responsibilities

1. AI System Architecture

• Define the end-to-end AI architecture for long-form video understanding.
• Design the processing pipeline from video ingest to structured media intelligence.
• Define how vision, audio, speech, text, metadata and user signals should be fused.
• Design the architecture for reusable media intelligence rather than one-time clip generation.
• Ensure the system can support multiple downstream applications from the same processed media layer.

2. Persistent Media Representation

• Design persistent media representation layer across multiple levels, including frame, object, shot, scene, segment, entity, event and full-video levels.
• Define what intelligence must be stored permanently versus computed on demand.
• Design schemas for temporal, spatial, semantic, narrative and commercial metadata.
• Define provenance, confidence, model versioning and evidence-tracking requirements.
• Ensure the representation remains usable even when underlying AI models are replaced or upgraded.

3. Multimodal Model Strategy

• Select and evaluate appropriate models for video, image, audio, speech, OCR, entity extraction, scene understanding, action recognition, embeddings, reranking and LLM/VLM reasoning.
• Decide where to use open-source models, commercial APIs, fine-tuning or custom models.
• Define model interfaces so models can be swapped without breaking downstream systems.
• Guide model benchmarking for accuracy, latency, cost and scalability.
• Prevent over-dependence on any single model vendor or API.

4. Temporal and Narrative Intelligence

• Design approaches for understanding long-form video structure, including scenes, events, story arcs, character/entity continuity and engagement peaks.
• Define methods to identify clip-worthy moments across different content types.
• Support narrative scoring, highlight ranking, scene segmentation and coherence validation.
• Ensure that clips are not only visually interesting but contextually and narratively coherent.

5. Evaluation and Benchmarking

• Define objective evaluation frameworks for AI outputs.
• Build or guide creation of benchmark datasets and UAT criteria.
• Define metrics for clip quality, scene accuracy, entity continuity, timestamp alignment, hallucination control, ranking quality, retrieval precision and cost efficiency.
• Establish model and prompt evaluation processes.
• Create regression-testing methodology when models, prompts, schemas or scoring logic change.

6. Search, Retrieval and Knowledge Layer

• Design hybrid search architecture across transcript, visual events, metadata, embeddings and structured knowledge.
• Define when to use relational storage, vector databases, graph databases and object storage.
• Design queryable media intelligence for downstream APIs and applications.
• Support knowledge-graph or ontology-based representation where useful.
• Ensure retrieved outputs are evidence-backed and timestamp-grounded.

7. Production AI Architecture

• Work with AI engineers to convert architecture into deployable services.
• Guide decisions on batching, GPU inference, model serving, queues, retries, observability and cost controls.
• Review pipeline designs involving FFmpeg, GStreamer, DeepStream, TensorRT, Triton, ONNX, cloud services and model APIs.
• Define failure-handling, reprocessing, versioning and rollback mechanisms.
• Support scalable design without premature overengineering.

8. IP and Technical Differentiation

• Help translate AI architecture into defensible technical differentiation.
• Support patent-related technical disclosures where required.
• Identify what is proprietary versus commodity.
• Avoid building a generic wrapper over existing models.
• Ensure the architecture reinforces the core thesis of persistent, reusable media intelligence.

9. Team Guidance

• Provide technical direction to senior AI engineers and computer vision engineers.
• Review designs, experiments, evaluation results and architecture decisions.
• Mentor engineers without becoming a pure people manager.
• Help define technical milestones for the first 90, 180 and 365 days.
• Support hiring, technical interviews and vendor evaluation where needed.

Required Experience

The ideal candidate should have:

• 8+ years of AI/ML experience, with significant exposure to computer vision, video AI, multimodal AI, retrieval systems or production ML architecture.
• Strong experience designing AI systems, not only implementing isolated models.
• Hands-on experience with video understanding, temporal modelling, multimodal pipelines, VLMs, LLMs, embeddings, ranking or retrieval.
• Experience taking AI systems from prototype to production.
• Strong knowledge of Python and modern AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face or equivalent.
• Experience with model evaluation, benchmarking, error analysis and dataset design.
• Understanding of production architecture: APIs, queues, databases, cloud, model serving, observability and deployment trade-offs.
• Ability to work with founders and engineers in a high-ambiguity startup environment.

Strongly Preferred Experience

• Video understanding, action recognition, scene segmentation, event detection or video retrieval.
• Multimodal AI involving video, audio, speech, text and metadata.
• LLM/VLM orchestration for structured outputs.
• Prompt/version management, schema validation and hallucination control.
• Embedding search, vector databases, reranking and retrieval evaluation.
• Knowledge graphs, ontologies, entity resolution or temporal knowledge representation.
• Model serving using TensorRT, Triton, ONNX, vLLM, DeepStream or similar.
• Experience with long-form video, OTT, sports media, entertainment, creator platforms, advertising technology or social commerce.
• Experience contributing to patents, technical disclosures or investor diligence.

Technical Areas

The candidate should be comfortable discussing and making architecture decisions across:

• Computer vision;
• video AI;
• multimodal fusion;
• speech-to-text;
• OCR;
• image/video embeddings;
• VLMs and LLMs;
• semantic search;
• vector databases;
• graph databases;
• temporal reasoning;
• ranking and scoring systems;
• prompt orchestration;
• model evaluation;
• model versioning;
• data lineage;
• GPU inference;
• cloud AI deployment.

What This Role Is Not

This is not a role for someone who has only built:

• chatbots;
• basic RAG demos;
• LangChain prototypes;
• prompt-engineering workflows;
• simple OpenAI/Gemini API wrappers;
• dashboards over model outputs;
• classical computer vision demos without production architecture;
• MLOps pipelines without AI system-design depth.

The role requires architectural depth in AI systems, not just familiarity with AI tools.

First 90-Day Expectations

First 30 Days

• Review product thesis, patent direction, prototype plans and existing technical assumptions.
• Assess current team capability and architecture gaps.
• Define the first version of AI architecture.
• Identify immediate technical risks and validation priorities.

First 60 Days

• Deliver a detailed architecture document covering media representation, model stack, pipeline design, storage strategy, evaluation framework and implementation roadmap.
• Define the canonical media-intelligence schema.
• Define model-selection and benchmarking criteria.
• Guide senior engineers on first implementation milestones.

First 90 Days

• Help the team implement and validate the first working version of the persistent media-intelligence layer.
• Establish evaluation datasets and UAT metrics.
• Review prototype outputs and improve architecture based on evidence.
• Produce a 6-month AI roadmap with technical risks, milestones and resourcing needs.

Success Metrics

The Principal AI Architect will be successful if:

• They have a clear AI architecture that the engineering team can execute.
• The platform does not collapse into a generic clip-generation pipeline.
• The media representation is reusable across multiple use cases.
• Models, prompts and schemas are versioned and testable.
• AI outputs are measurable through objective benchmarks.
• Snehashish, Abhishek and other engineers have clear technical direction.
• The architecture supports both product execution and investor/IP defensibility.

Candidate Personality Fit

The right candidate should be:

• intellectually strong but practical;
• hands-on enough to review code and experiments;
• comfortable with ambiguity;
• willing to challenge assumptions with evidence;
• able to simplify complex AI architecture for engineers and investors;
• disciplined about evaluation, cost and production constraints;
• not attached to one model, tool or vendor;
• able to work in a founder-led early-stage startup. 

About Us:

CLOUDSUFI, a Google Cloud Premier Partner, is a global leading provider of data-driven digital transformation across cloud-based enterprises. With a global presence and focus on Software & Platforms, Life sciences and Healthcare, Retail, CPG, financial services and supply chain, CLOUDSUFI is positioned to meet customers where they are in their data monetization journey.

Our Values

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace. Please explore more at https://www.cloudsufi.com/

Role :

A Software Engineer who builds the tools this company runs on. You build agent loops, and the loops build the solutions. You work towards a Company Brain that anyone here can ask.3–5 years’ experience · Reports to the CFO · 

THE KEY SKILL

You build the agent loops that build the solutions. You will not write every automation by hand. You build the loops that

write them. Ship a prototype every week. You ship something every day.

You’ll be building a Company Brain with access control. One system that holds what the company knows about finance,delivery and people. Anyone can ask it a question. Each person sees only what they are cleared to see.

One hard filter. If you cannot write and debug production code, and have not done it before, please do not apply.

CORE RESPONSIBILITIES

• Work the backlog: You pick items off a live, ranked backlog. You learn each function by building inside it. There is no discovery phase. What you learn goes back into the backlog and changes what comes next.

• Build the product: You design, build and ship tools that people use every day. Reconciliation, MIS, the deal desk,quote to cash, or whatever the real bottleneck turns out to be. You choose the tools and frameworks.

• Wire the data: Connect the systems each team already uses, so that the same number means the same thing everywhere.

• Make it visible: You build live dashboards and alerts that leaders read on their own, instead of asking someone for a report.

• Keep it running: You own uptime and accuracy for everything you build. Anything that touches money or people needs a person in the loop.

THE STACK

• Build with: Python and TypeScript. You write production code. Frontier model APIs from Anthropic, OpenAI or Google, with tool calling and structured output. At least one agent framework. MCP to connect agents to internal systems.Postgres and pgvector, or something similar, for retrieval. You deploy on GCP, and you debug your own work.

• Work in agents daily: Claude Code, Cursor or something like them, as the way you write code every day. You should have a clear view on how to run the loop, and on when a person has to step in.

• Connect to: The systems we already run on for accounting, CRM, hiring and IT support, along with Google Workspace.Most of the work is getting them to agree with each other.

• Check what you ship: Anything that produces a number needs a way to catch it going quietly wrong. Test sets, regression checks, and alerts on the output as well as on the job.

WHAT GOOD LOOKS LIKE

• Something you built is running by week two, and someone is using it.

• By day 90, time spent on reconciliation or reporting is down by a number you can defend to the CFO.

• Every tool you ship has a named owner who is still using it 60 days later. That is the measure that counts.

• Leaders stop asking for numbers, because they can already see them.

• By the end of your first year, a first version of the Company Brain answers real questions about Finance, and each

person who asks sees only what they are cleared to see.

WHO THIS IS FOR

• You have built products: 3 to 5 years at a software product company, on a product with real users at scale. That means 100k+ monthly active users, or heavy daily use by a large enterprise customer base. You have owned code in production, in front of real users, long after it shipped.

• You ship alone: You are comfortable as the only engineer in the room, and the only person on call for what you built.

• You work out new ground fast: A domain you do not know is interesting to you. You start without waiting for a spec or an expert.

• You are fluent with agents: One person cannot cover a whole company by hand. You use agent loops heavily and youare good at it.

• You write and speak clearly: Half this job is pulling a process out of a finance or delivery lead and giving it back to them correctly. You work remotely, so this matters a great deal.

HOW WE WILL ASSESS

• A design problem: Live. We give you a function of the B2B company, and you design the system for it. We watch how you break down a domain you do not know, how you size it, and what you leave out on purpose.

• A build exercise: Live and screen-shared, on your own setup, with your own agents. You build the way you normally build. We watch how you run the loop, when you step in, and what you decide to skip.

• Your work and your questions: We talk about what you have shipped before. You ask us whatever you want.

Communication is not a separate round. All three sessions are live, and how clearly you explain your thinking is part of how we judge you.

WHERE IT LEADS

You report to the CEO and CFO from your first day. Your charter covers the whole company. Nothing sits between you and production. Very few engineering jobs offer all three at once, and that is why this one exists.

In 18 months you will know how this company really runs: the data, the money, and the gaps between teams. The rolethen changes shape to fit whatever the biggest open problem is by then.

About the Role

We are hiring Staff / Principal Engineers to take full, hands-on ownership of Blitzy's most critical production-grade systems and to deliver high-leverage features that materially improve customer outcomes and engineering velocity. This is the most senior individual contributor role at the company today.

This is not a Senior-plus role, an architecture-only role, or a promotion-track role. We are looking for someone who has already operated at Principal / Staff+ scope in a highly technical environment and expects to spend their time writing, reviewing, and shipping production code.

This role is 100% hands-on. Leverage comes from system ownership, execution quality, and durable technical decisions — not people management or process.

Responsibilities

• Own mission-critical production systems end-to-end, ensuring correctness, scalability, performance, reliability, and operational excellence.
• Design, build, and ship high-impact backend systems and features that improve product reliability, performance, and customer value.
• Architect scalable services and cloud infrastructure using technologies such as Python, REST, gRPC, Kubernetes, and Terraform.
• Identify and resolve complex technical bottlenecks that limit engineering quality, system performance, or organizational velocity.
• Build and operate LLM-powered systems and validation loops that evaluate correctness, consistency, durability, and production performance.
• Design and evolve data architectures incorporating relational, NoSQL, graph, and vector databases to support complex enterprise applications and semantic retrieval.
• Modernize and improve complex enterprise systems while balancing reliability, maintainability, scalability, and delivery speed.
• Set and uphold engineering quality standards through hands-on technical leadership, sound technical judgment, and ownership of long-term technical decisions.

Qualifications

• Direct experience with Python as a primary programming language, backend frameworks, and microservices architectures.
• Expertise in REST and gRPC, with proficiency in Node.js and JavaScript.
• Proficiency in GCP, along with experience using at least one additional cloud platform such as AWS or Azure.
• Advanced knowledge of Kubernetes and Terraform in production environments.
• Experience operating highly available production systems, including monitoring, scalability, reliability, performance optimization, and operational tooling.
• Strong knowledge of SQL and NoSQL databases, including PostgreSQL, MySQL, MongoDB, Cassandra, or DynamoDB.
• Familiarity with graph databases such as Neo4j and vector databases or embedding infrastructure for semantic search and retrieval.
• Hands-on experience building and operating LLM-powered systems in production, including evaluation, validation, regression testing, tracing, and failure analysis.
• Working knowledge of LangSmith or comparable LLM observability and evaluation tools; familiarity with OpenAI, Anthropic, or similar model providers is a plus.
• Ability to contribute across the full stack, with a strong understanding of frontend architecture and the ability to debug, design, and ship across frontend, backend, infrastructure, and AI systems.
• Understanding of large-scale enterprise software systems, including architecture, integration, deployment, modernization, and long-term maintainability.
• Proven track record of operating at Staff+, Principal Engineer, or equivalent level, independently driving complex technical initiatives and delivering high-impact outcomes with minimal supervision.

Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revolution. We're transforming how enterprises build software, turning enterprise requirements into enterprise grade code with an agentic software development platform that can autonomously execute 80% of the quantum of software development work. We're backed by multiple tier 1 investors, and have proven success as founders of previous start-ups.

Our Culture

Who we are:

Led by two pioneering co-founders we are one of the fastest growing companies in the U.S., creating our own category of enterprise autonomous software development. We automate thousands of hours of software development for our customers, which includes strong representation within the Fortune 500.

How we work:

• We move Blitzy Fast: Time is both our company’s and our clients’ most precious asset. We move quickly and decisively to innovate internally and deliver exceptional software externally.
• Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission.
• Passion for Invention: We’re pushing the frontier of what’s possible, requiring constant innovation and iteration.
• We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships into deep, meaningful partnerships.
• We believe in being ‘everyday athletes’: taking care of ourselves so we can bring our best minds to work. We promote great sleep, movement, and restorative activities for 

Blitzy is an equal opportunity employer committed to building a diverse and inclusive team. We believe different perspectives make us stronger.

Job Description: Senior Java/Python Developer (AI & GenAI Specialist)

Location

Position Summary

We are seeking an experienced Senior Java/Python Developer with strong expertise in enterprise application development and extensive hands-on experience in Artificial Intelligence (AI), Generative AI (GenAI), Large Language Models (LLMs), and AI-powered application development. The ideal candidate will lead the design, development, and deployment of scalable, intelligent solutions that integrate modern AI technologies with enterprise-grade Java and Python ecosystems.

This role requires a combination of strong software engineering skills, AI innovation capabilities, and architectural leadership.

Key Responsibilities

• Application Development

• Design, develop, and maintain scalable enterprise applications using Java and Python.

• Develop RESTful APIs, microservices, and event-driven architectures.

• Build high-performance backend systems using Spring Boot, FastAPI, Flask, or Django.

• Ensure code quality through unit testing, integration testing, and code reviews.

AI & Generative AI Development

• Design and implement AI-powered solutions leveraging Large Language Models (LLMs).

• Develop intelligent applications using OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, and similar platforms.

• Build Retrieval Augmented Generation (RAG) architectures for enterprise knowledge systems.

• Implement AI agents, copilots, chatbots, virtual assistants, and workflow automation solutions.

• Engineer prompts and build prompt orchestration frameworks.

• Develop multi-agent AI systems and autonomous AI workflows.

Required Technical Skills

Core Programming

• Expert-level proficiency in:

o Java (Java 11/17/21)

o Python 3.x

• Strong understanding of OOP, design patterns, and software engineering principles.

Java Technologies

• Spring Boot

• Spring Cloud

• Hibernate/JPA

• Microservices Architecture

• Kafka/RabbitMQ

• REST API Development

Python Technologies

• FastAPI

• Flask

• Django

• Pandas

• NumPy

• Async Programming

Generative AI & LLMs

• OpenAI APIs

• Azure OpenAI

• LangChain

• LangGraph

• LlamaIndex

• Semantic Kernel

• Hugging Face

• Prompt Engineering

• RAG Frameworks

• AI Agent Frameworks

• Vector Databases (Pinecone, Weaviate, ChromaDB, Milvus, FAISS)

Preferred Qualifications

• Experience developing enterprise AI copilots and intelligent assistants.

• Experience implementing AI solutions using Microsoft Copilot Studio, Azure AI Services, or similar platforms.

• Knowledge of AI governance, responsible AI, security, and compliance frameworks.

• Experience in travel, finance, telecom, retail, or large enterprise environments.

• Exposure to graph databases and knowledge graphs.

• Understanding of multimodal AI (text, image, audio, video).

Educational Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or related discipline.

• Generative AI certifications preferred.

Key Competencies

• Solution Architecture

• AI Innovation & Thought Leadership

• Problem Solving

• Stakeholder Management

• Technical Mentoring

• Agile Development

• Analytical Thinking

• Communication & Presentation Skills

Success Metrics

• Delivery of scalable AI-enabled enterprise solutions.

• Reduction in operational effort through AI automation.

• Successful deployment of GenAI applications into production.

• Application performance, reliability, and security.

• Adoption of AI best practices across development teams.

We’re on hunt for AI Architect

Responsibilities:

• 10–15+ years overall experience, with recent hands-on AI/GenAI architecture ownership.
• Must have architected enterprise AI platforms/solutions end-to-end, not just individual ML models or PoCs.
• Strong GenAI/LLM production experience: RAG, embeddings, vector DBs, hybrid search, reranking, evaluation, guardrails.
• Strong Agentic AI understanding: agents, tool calling, workflows, orchestration, human-in-the-loop.
• Experience taking AI solutions from architecture → production → scale, ideally across multiple business teams/use cases.
• Strong cloud architecture — Azure/AWS preferred; hybrid/on-prem experience is a plus.
• Must understand enterprise security, governance, Responsible AI, observability and LLMOps/MLOps.
• Should be able to articulate build-vs-buy, MVP-vs-target architecture, cost/performance/security tradeoffs.
• Strong stakeholder-facing / consulting ability — can work with business leaders, engineering, security and data teams and influence without authority.

There is scope to move to the US for this role if you are aligned for the same, else this will be a WFO role from Hyderabad location

We are looking for a highly strategic and execution-oriented Senior Product Manager / Product Manager – CMS & Digital Experience Platform to drive the evolution of Milestone’s AI-first CMS and Digital Experience capabilities.

This role requires a product leader who can deeply understand enterprise customer problems, market trends, AI-led content evolution, SEO/GEO dynamics, Personalization, and modern web experience requirements while partnering closely with Engineering, Design, GTM, Customer Success, and Enterprise Customers.

You will own product strategy, roadmap prioritization, customer outcomes, adoption metrics, Customer communication, and feature execution for our next-generation CMS platform.

Problems We Are Looking to Solve

• Enterprise-scale AI-driven content management
• Discoverability across Search and Generative AI ecosystems
• AI-powered content optimization and governance
• SEO/GEO-native digital experiences
• Conversion-focused, hyper-personalized customer journeys

Key Responsibilities

Strategic Vision & Leadership

• Define and execute product vision and roadmap\
• Drive AI-first product innovation
• Conduct market and competitive analysis
• Translate customer pain points into scalable solutions
• Understand customer churn and derive strategies to reduce future churn

Operational Excellence & Growth

• Own product lifecycle from ideation to launch
• Create PRDs, user stories, and documentation
• Drive roadmap execution with Engineering teams
• Monitor adoption, engagement, and retention KPIs

Innovation & Culture

• Champion AI-native product thinking
• Foster innovation and accountability culture
• Evangelize product capabilities internally and externally
• Stay ahead of CMS, Digital asset management and AI trends

Cross-Functional Alignment

• Collaborate with Engineering, UX, Marketing, Sales, and CS teams
• Partner with Product Marketing for GTM initiatives
• Support enterprise sales cycles and customer workshops

Customer Impact

• Act as voice of the customer
• Improve customer adoption and success outcomes
• Ensure measurable business impact

Talent & Empowerment

• Mentor junior product team members
• Promote ownership and continuous learning
• Strengthen product management best practices

Ideal Candidate Profile

The ideal candidate is a customer-centric product leader with strong experience in B2B SaaS platforms, CMS technologies, AI-led digital experiences, and enterprise-scale product management.

Required Experience & Qualifications

• 8+ years of Product Management experience in B2B SaaS
• Experience with CMS, Digital Experience Platforms, or Martech
• Strong understanding of APIs and modern web architectures
• Experience collaborating with Engineering and Design teams
• Strong analytical and communication skills

Key Focus Areas

• AI-native CMS innovation
• SEO/GEO-first digital experiences
• Enterprise content scalability
• Product-led growth and adoption

Capabilities

1. Product Strategy & Roadmapping

2. Enterprise SaaS Product Management

3. AI-first Product Thinking

4. Agile Product Development

5. Customer Discovery & Validation

6. Data-Driven Decision Making

7. Stakeholder Management

8. GTM Collaboration

KPI and Metrics

1. Product Adoption

2. Customer Engagement & Retention

3. Time-to-Market

4. Customer Satisfaction

5. Platform Performance

6. Revenue Influence

7. Product Usage Growth

8. Customer Success Outcomes

Qualifications

• Bachelor’s degree in Engineering, Computer Science, or related field
• MBA preferred
• Product or Agile certifications are a plus

What We Offer

• Competitive compensation and incentives
• Opportunity to build AI-first products
• Exposure to global enterprise customers
• Career growth and leadership opportunities
• Collaborative and innovative culture

How to Apply

Interested candidates are invited to submit their resume and a cover letter outlining their qualifications and vision for the role plus previous experience align with key attributes, responsibilities, clear wins or learnings.   

Why Milestone

• AI-first Digital Experience Platform
• SEO/GEO-native CMS leadership
• Founder-led innovation culture

Overview:

We are looking for a Principal Architect for a Private Equity backed, fast growing AI First Product Engineering Services firm.

This role will be a key member of the core leadership team of the firm.

He/ She will serve as a strategic technical leader, solution designer, and customer advisor. In this role, you will combine deep and broad-based technical expertise with strong business acumen to architect high-value solutions, lead pre-sales engagements, and mentor our practice/CoE team. You will work closely with customers to understand their business needs, translate them into scalable technical solutions, and guide delivery teams in successful implementation.

Responsibilities:

1. Solutioning & Pre-Sales

●     Engage with customers, understand their business context, and guide them through a discovery and design process leading to a proposed solution

●     Work with sales teams to develop winning proposals, RFP responses, and technical presentations.

●     Will need to take single point ownership of the pre sales process, including client interactions, proposal preparation, presentations, pricing etc

●     Drive proof-of-concepts as part of the pre sales process

●     Build frameworks for different kinds of proposals and presentations to bring in repeatability and efficiency in the process

●     Work closely with marketing to create content around Indexnine offerings, solutions, capabilities and case studies

2. Delivery

●     Provide technical oversight during project delivery, ensuring adherence to architectural principles, standards, and best practices and ensure the as-sold solution is realised

●     Act as a trusted advisor to senior customer stakeholders (CXO level and technical leads). Will need to engage with Customers through delivery as required

●     Create points of view on accounts to help mine and grow accounts.

3. Practice & CoE Development

●     Work closely with the labs. Contribute to the development of new products/ accelerators.

●     Mentor and coach engineers to enhance their technical and customer engagement skills.

4. Thought leadership

●     Keep abreast of technology and produce points of view for Indexnine’s offerings and technical capabilities

●     Represent the company at industry forums, webinars, and client workshops.

●     Be able to independently conduct discovery and solutioning workshops with Customers

Skills/Qualifications:

●     15+ years of overall experience with a blend of architecting, pre sales and technical delivery

●     Should be leading a pre-sales unit in a services organization. Hands-on with designing solutions, proposal writing, estimation, pricing and customer presentations.

●     Broad based technical expertise and having played a Sr Architect role for at least 2 years

●     Excellent communication, stakeholder management, and team leadership skills.

●     Experience working in an IT services environment in the Product Engineering space (i.e designing and building bespoke products/solutions)

●     BE/ Masters degree

About the Role

We are looking for a dynamic and customer-focused Presales Engineer – Cloud & AI to support our Cloud Transformation, Modernization, Managed Services, and AI/GenAI practices.

This role is pivotal in shaping technical solutions for prospective customers, driving value-based conversations, and bridging the gap between customer challenges and Comprinno's cloud and AI capabilities.

As a Presales Engineer – Cloud & AI, you will work closely with Sales, Solution Architects, Data & AI teams, and Delivery teams to understand customer requirements, design high-level solutions, and articulate how Comprinno's offerings can accelerate digital transformation and business outcomes.

This is a high-impact role that combines cloud solutioning, technical consulting, AI awareness, customer engagement, and presales excellence.

Key Responsibilities

Customer Discovery & Solutioning

• Engage with prospective customers to understand business objectives, technical challenges, and transformation goals.
• Conduct discovery workshops, assessments, and technical discussions to identify cloud and AI opportunities.
• Translate business requirements into high-level cloud and AI solution architectures.
• Collaborate with Solution Architects and technical teams to develop scalable and cost-effective solutions.

Cloud Transformation Consulting

• Support customer initiatives across:
• Cloud Migration
• Application Modernization
• DevOps Transformation
• Managed Services
• Security & Compliance
• Resilience & Disaster Recovery
• Conduct cloud assessments and migration readiness evaluations.
• Prepare cloud cost estimates, modernization roadmaps, and optimization recommendations.
• Leverage AWS programs and frameworks such as:
• Migration Acceleration Program (MAP)
• AWS Well-Architected Framework (WAFR)
• Foundational Technical Review (FTR)

AI & GenAI Solution Consulting

• Identify opportunities for AI, GenAI, and Agentic AI adoption within customer environments.
• Participate in AI discovery workshops and business value discussions.
• Support solution design for AI-powered applications leveraging AWS AI services.
• Collaborate with Data & AI teams to position analytics, machine learning, and Generative AI offerings.
• Assist customers in identifying suitable use cases for:
• Generative AI
• AI Assistants
• Knowledge Management Solutions
• Intelligent Automation
• Conversational AI

Proposal Development & Technical Presales

• Collaborate with Solution Architects to create:
• Technical Proposals
• Architecture Diagrams
• Effort Estimates
• Statements of Work (SOWs)
• Technical Responses to RFPs/RFIs
• Present solutions, recommendations, and technical approaches to customer stakeholders.
• Support Proof of Concepts (PoCs), demonstrations, and technical validations.
• Participate in technical reviews and solution walkthroughs.

Customer Engagement & Thought Leadership

• Attend customer meetings jointly with Sales teams to provide technical expertise.
• Build credibility and trust with customer technical and business stakeholders.
• Contribute to webinars, workshops, technical presentations, and customer-facing events.
• Write blogs, case studies, solution briefs, and technical content that supports business growth.
• Maintain an active presence in cloud and AI communities.

Collaboration & Knowledge Management

• Collaborate with Delivery teams to ensure smooth handover and alignment between presales and execution.
• Maintain reusable presales assets, templates, assessment frameworks, and knowledge repositories.
• Continuously stay updated on AWS services, AI advancements, partner programs, and emerging technology trends.
• Contribute to internal capability building and knowledge-sharing initiatives.

Travel & Customer Interaction

• Travel as required for customer meetings, workshops, assessments, events, and strategic engagements.
• Represent Comprinno professionally during all customer-facing interactions.

Required Qualifications & Skills

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 3–5 years of experience in Presales, Solution Consulting, Cloud Consulting, Technical Sales, or related customer-facing roles.
• Strong understanding of AWS cloud services across:
• Compute
• Networking
• Storage
• Security
• Databases
• Knowledge of cloud migration and modernization frameworks such as AWS MAP.
• Familiarity with AWS cloud assessment tools including Migration Evaluator and AWS Well-Architected Tool.
• Understanding of:
• Kubernetes
• Containerization
• Cloud-Native Architectures
• DevOps Practices
• Hands-on exposure to Infrastructure as Code using Terraform or CloudFormation.
• Ability to create:
• Solution Documents
• Architecture Diagrams
• Technical Proposals
• Effort Estimates
• Statements of Work
• Understanding of Generative AI concepts including:
• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• AI Assistants
• Agentic AI Concepts
• Familiarity with AWS AI services such as:
• Amazon Bedrock
• Amazon SageMaker
• Amazon Q
• AWS Solutions Architect – Professional Certification.
• Experience positioning AI, GenAI, Analytics, or Data Engineering solutions.
• Familiarity with AI frameworks such as:
• LangChain
• LangGraph
• CrewAI
• OpenAI APIs
• Anthropic APIs
• Strong communication, presentation, and stakeholder management skills.
• Experience conducting AI assessments, GenAI workshops, or AI proof-of-concepts.
• Experience contributing to webinars, blogs, case studies, or technical marketing content.
• AWS Solutions Architect – Associate Certification (Mandatory).
• Customer-centric mindset with strong problem-solving abilities.

Desired Qualifications & Skills

• AWS Specialty Certifications such as:
• Security Specialty
• Advanced Networking Specialty
• Machine Learning Specialty
• DevOps Engineer Professional
• Understanding of compliance frameworks such as:
• ISO 27001
• SOC 2
• HIPAA
• MBA or equivalent business qualification.
• Contributions to industry blogs, webinars, conferences, technical communities, or open-source initiatives.

What We're Looking For

• Strong consulting mindset with the ability to understand customer business challenges.
• Excellent communication and presentation skills.
• Ability to balance technical depth with business value articulation.
• Passion for cloud technologies, AI, and emerging innovation.
• Collaborative team player who can work across Sales, Architecture, Delivery, and Product teams.
• High ownership and accountability.
• Curiosity and continuous learning mindset.
• Willingness to travel and work from customer locations across India and internationally as required by project engagements.

What Success Looks Like

• Consistently contributes to qualified pipeline creation and deal progression.
• Produces high-quality proposals, architecture recommendations, assessments, and Statements of Work.
• Builds credibility with customers through strong technical consulting and solution design.
• Successfully supports closure of Migration, Modernization, Managed Services, Security, and AI opportunities.
• Develops reusable presales assets, assessment frameworks, and solution accelerators.
• Contributes to thought leadership through blogs, webinars, technical presentations, and customer-facing content.
• Continuously expands expertise in AWS, Cloud, AI, and emerging technologies.

Why Join Comprinno

• Work at the forefront of Cloud, AI, and AWS innovation with one of the leading AWS Partners in APJ.
• Be part of real transformation initiatives involving Migration, Modernization, DevOps, Security, Managed Services, and Generative AI.
• Collaborate directly with enterprise customers and influence strategic technology decisions.
• Accelerate your growth through AWS certifications, mentorship, and hands-on customer engagements.
• Contribute to innovative solutions including Tevico and future AI-powered offerings.
• Build thought leadership through webinars, blogs, events, and community participation.
• Join a collaborative, high-performance culture that values ownership, innovation, and continuous learning.

• We are looking for experienced AI/ML Architects to join our AI Engineering service line. In this role, you will anchor the technical delivery of enterprise AI/Agentic AI projects post deal-closure. You will take over from solution architects and lead the design, build, deployment, and optimization of AI/ML systems — ensuring production-grade quality, scalability, and compliance. 
• You will interface with cross-functional teams, manage engineering complexity, and ensure value realization for customers across industries such as BFSI, HLS, Manufacturing, CMT, Retail, and Energy. 

Key Responsibilities

Architecture & Technical Leadership

Hands-on Engineering & Problem Solving

Required Qualifications

Education : B.Tech/M.Tech or equivalent in Computer Science, Data Science, or a related field.

Experience

● 10+ years in software architecture or engineering with 5+ years in applied AI/ML

system delivery.

● Experience in productionizing AI/ML models and building full-stack AI applications in

enterprise settings.

● Strong Python development skills; proficiency in ML/AI frameworks (PyTorch,

TensorFlow, Scikit-learn).

● Strong understanding of LLMs, RAG pipelines, vector databases (Weaviate, Qdrant,

Pinecone).

● Experience with MLOps/LLMOps tools: MLflow, Argo, KServe, Feast, Kubeflow.

● Proficiency in data pipeline engineering using Spark, Airflow, or DataFlow.

● Exposure to agent orchestration frameworks: LangChain, LangGraph, AutoGen,

CrewAI is a big plus.

● Cloud & Infrastructure

● Hands-on experience with GCP (Vertex AI, BigQuery, Document AI, AI Gateway)

and/or Azure (Azure ML, OpenAI, Synapse).

● Expertise in containerization (Docker) and orchestration (Kubernetes).

● Familiarity with Infrastructure as Code (Terraform, Pulumi, CDK).

Soft Skills

Strong architectural thinking and problem-solving in fast-paced delivery environments.

Excellent communication and collaboration skills to work across cross-functional teams and

clients.

Proactive, structured, and detail-oriented with a bias for execution.

Nice to Have

Experience in real-world deployments of Agentic AI systems or collaborative multi-agent setups.

Exposure to regulatory/ethical concerns in AI such as fairness, transparency, or bias mitigation.

Familiarity with AI observability, explainability, and governance tooling (e.g., Arize, Fiddler,

TruEra).

Sr.Data Scientist,Python, AI ML

We are looking for a skilled Data Scientist to analyze complex datasets, develop predictive models, and generate actionable insights that support business decisions. The ideal candidate should have strong statistical, analytical, and programming skills, along with hands-on experience in machine learning.

Strategic Partnerships Associate – AI & Platform Partnerships

Company: FreJun

Position: Strategic Partnerships Associate – AI & Platform Partnerships

Employment Type: Full-Time

Department: Strategic Partnerships

Location: Remote

Experience: 1–2+ Years of real coding/product-building experience

Fixed CTC: ₹6 – ₹10 LPA

Variable: 10–20% of fixed CTC

Reports To: Head of Partnerships

Position Overview

We are seeking a technically strong and commercially driven Strategic Partnerships Associate to join our Strategic Partnerships team and focus on building partnerships with AI platforms, AI voice-agent companies, developer platforms, automation platforms, voice technology companies, and other technology products.

The ideal candidate will have hands-on experience building and shipping software and should be comfortable understanding APIs, technical products, integrations, and AI/voice architectures.

The role involves identifying high-potential technology partners, conducting technical and commercial discussions, supporting integrations, and helping partners move from initial engagement to production usage of Teler.

This is a technical partnerships role and is not intended for candidates with only traditional sales, business development, recruitment, marketing, or general partnership experience.

Key Responsibilities

AI & Platform Partner Research

- Identify AI voice-agent platforms, AI agent platforms, LLM platforms, developer platforms, automation platforms, voice technology companies, CRM/ATS platforms, and API-first SaaS companies

- Research potential partners' products, APIs, documentation, technical architecture, and existing voice infrastructure

- Identify where Teler can fit within a partner's product or technology stack

- Evaluate technical fit, customer overlap, integration effort, and commercial potential

- Build and maintain a prioritized database of potential AI and technology partners

- Track relevant competitor integrations, partner programs, marketplace listings, and ecosystem developments

Technical Partner Qualification

- Understand what potential partners are building and how their products work

- Review their existing voice, telephony, API, and integration architecture

- Identify technical requirements, pain points, expected usage, and integration complexity

- Understand latency, reliability, scalability, and geographic requirements where relevant

- Determine whether Teler is a suitable technical and commercial fit

- Prepare structured partner briefs and opportunity assessments

Partner Outreach & Relationship Management

- Conduct targeted outreach through email, LinkedIn, developer communities, GitHub, Slack, Discord, events, and relevant ecosystem channels

- Create personalized outreach based on the partner's actual product and technical environment

- Build relationships with developers, engineers, CTOs, technical founders, and product teams

- Conduct discovery calls and document requirements, pain points, decision processes, and next steps

- Maintain structured follow-ups and move qualified opportunities toward technical evaluation

Technical Demos & Integration Support

- Conduct Teler product demonstrations and technical walkthroughs

- Explain Teler APIs, authentication, call control, media streaming, number provisioning, webhooks, and call handling

- Explain how Teler fits into AI voice-agent architectures

- Build small proof-of-concepts, reference integrations, sample applications, and API examples

- Create Postman collections, code snippets, and technical integration material

- Support partners during technical evaluation and integration

Partner Onboarding

- Manage partner onboarding from technical qualification through production

- Support sandbox and account setup

- Guide partners through API credentials, documentation, and number provisioning

- Support initial integration and testing

- Help partners reach their first successful test call

- Drive qualified partners toward their first production call

- Track integration progress, blockers, and next steps

Technical Troubleshooting

- Review API requests, responses, logs, and technical errors

- Reproduce and investigate integration issues

- Troubleshoot API and webhook-related problems

- Identify whether issues originate from partner code, Teler, or the network

- Provide clear and reproducible technical information to Engineering

- Resolve first-level technical issues without unnecessary escalation

AI Voice & Technical Architecture

- Understand AI voice-agent architecture including STT → LLM → TTS

- Understand streaming and turn-based voice interactions

- Understand barge-in, interruption handling, and function/tool calling

- Understand basic telephony concepts including SIP, DIDs, number provisioning, inbound/outbound calling, and call control

- Understand media/audio streaming, latency, and reliability considerations

- Create and explain architecture diagrams showing where Teler fits

Co-Selling & Partner Enablement

- Work with Sales and Pre-sales on partner-led opportunities

- Participate in partner-introduced customer discussions when technical support is required

- Support joint solution positioning and technical qualification

- Identify referral and co-selling opportunities

- Create integration guides, technical FAQs, architecture diagrams, demo scripts, and implementation material

- Help partners become capable of explaining and positioning Teler independently

Product Feedback & Collaboration

- Collect structured feedback from technology partners

- Identify recurring API, documentation, integration, and scalability issues

- Document partner requirements with technical and commercial context

- Work with Product and Engineering to communicate partner requirements

- Identify opportunities to reduce integration friction

Partner Operations & Reporting

- Maintain accurate CRM and partner records

- Track partner stages, technical evaluations, integrations, activations, and next steps

- Maintain visibility into partner-sourced and partner-influenced pipeline

- Prepare regular reports on outreach, qualified conversations, integrations, activations, pipeline, and blockers

- Build lightweight tools or scripts for partner research, enrichment, tracking, or reporting where useful

Required Qualifications

Experience

- Minimum 1–2 years of real hands-on experience writing code or building and shipping a software product

- Must have experience building software, integrations, applications, or technical products used by real users

- Must be able to provide evidence of work through GitHub, GitLab, portfolio, live product, production integration, or similar proof

- Must be able to clearly explain personal contribution to a project

Technical Skills

- Strong understanding of REST APIs

- API authentication

- HTTP headers and request/response structures

- HTTP status codes and error handling

- Rate limits and pagination

- Idempotency

- Webhooks and event-driven systems

- Webhook signatures and retries

- API debugging

- Postman and/or curl

- Browser DevTools

- Logs and basic observability

Programming Skills

Ability to write working code in at least one of:

- Python

- JavaScript

- TypeScript

- Go

- Java

- PHP

AI & Voice Skills

- Understanding of AI voice agents

- LLM APIs

- STT/TTS

- AI agent frameworks

- Streaming audio

- Function/tool calling

- Voice latency

- SIP/VoIP fundamentals

- DIDs and number provisioning

- Inbound/outbound calling

- Call control

- Media/audio streaming

Communication & Professional Skills

- Strong written and verbal communication

- Ability to communicate effectively with technical stakeholders

- Strong analytical and problem-solving skills

- Commercial judgement

- Strong ownership and initiative

- Ability to work independently

- Strong organization and follow-up

- Ability to manage multiple partner opportunities simultaneously

- Ability to learn new technical concepts quickly

Professional Attributes

- Builder mindset

- Technically curious

- Commercially aware

- Detail-oriented

- Proactive and self-driven

- Comfortable working without an established playbook

- Able to balance technical accuracy with business objectives

- Willing to take ownership from research through partner activation

Preferred Qualifications

- Experience with AI voice platforms or AI agents

- Experience with LLM applications

- Experience with developer platforms or API products

- Experience with CPaaS, SIP/VoIP, IVR, or contact-center technology

- Developer relations or technical community experience

- Open-source contributions

- Experience with CRM, ATS, or automation platforms

- Experience creating technical documentation

- Experience building API integrations or SDK-based integrations

Ideal Candidate Profile

The ideal candidate is a software or product builder who wants to use their technical knowledge to build AI and technology partnerships.

They should be comfortable understanding APIs and architectures, speaking with developers and CTOs, identifying strong technology partnerships, conducting technical demos, supporting integrations, and moving qualified partners toward production.

Pure sales, generalist business development, recruitment, marketing, or partnership profiles without real software-building experience will not be considered.

Web & Digital Operations Specialist

WordPress | Shopify | SEO | AI

Location: India – Remote / Hybrid

Experience: 3–6 Years

Employment Type: Full-Time

About the Role

We are looking for a hands-on Web & Digital Operations Specialist who can independently manage websites, support digital initiatives, use AI effectively, and take ownership of projects from requirement through completion.

This is not a traditional frontend developer role and it is also not a pure digital marketing role.

The ideal candidate is someone who is comfortable working across WordPress, Shopify, website optimization, SEO, digital operations, AI tools, QA, and project coordination.

You do not need to be an expert in everything. What matters is your ability to understand a problem, research what you don't know, use the right tools, execute independently, and verify that the final result actually works.

What You'll Do

Website Management & Optimization

• Build, update, and maintain websites using WordPress and/or Shopify.
• Create and improve landing pages, product pages, forms, and other website sections.
• Troubleshoot website issues and coordinate technical fixes when required.
• Ensure websites work properly across desktop and mobile.
• Improve website usability, page speed, navigation, and overall user experience.
• Perform website QA, including checking links, forms, images, copy, CTAs, layouts, and functionality.
• Work with developers/designers when a task requires deeper technical expertise.

SEO & Digital Performance

• Handle fundamental on-page and technical SEO activities.
• Perform keyword and competitor research.
• Understand and work with tools such as Google Search Console and Google Analytics/GA4.
• Identify opportunities to improve website traffic, engagement, and conversions.
• Understand how landing pages, content, SEO, traffic sources, user experience, and CTAs affect business results.
• Support digital marketing activities when required.

We are not necessarily looking for a PPC/performance-marketing specialist. You should, however, understand how websites support broader digital marketing and conversion goals.

AI & Automation

AI will be a regular part of this role.

You will use tools such as ChatGPT, Claude, Gemini, Perplexity, Cursor/Copilot or similar AI tools to:

• Research unfamiliar topics and industries.
• Assist with website development and troubleshooting.
• Analyze information and identify possible solutions.
• Create and improve content.
• Support SEO and competitor research.
• Speed up repetitive tasks.
• Improve internal processes and documentation.
• Explore opportunities for automation.

You don't need to already be an advanced AI automation engineer.

However, you should be comfortable with AI and interested in learning how tools such as Zapier, Make, n8n, APIs, scripts, or similar platforms can reduce repetitive manual work.

Most importantly, you should review and verify AI-generated output rather than blindly accepting it.

Project Ownership & Coordination

• Take ownership of assigned projects from requirement to completion.
• Break objectives into clear tasks and priorities.
• Coordinate with designers, developers, content teams, marketing teams, or external partners when needed.
• Track deadlines and follow up on dependencies.
• Communicate blockers early rather than waiting until deadlines are missed.
• Maintain checklists, documentation, and project updates.
• Perform final QA before considering a project complete.
• Handle multiple projects and prioritize based on urgency and business impact.

What We're Looking For

Must Have

• 3–6 years of relevant web/digital experience.
• Hands-on experience with WordPress and/or Shopify.
• Strong understanding of responsive websites and website usability.
• Practical understanding of SEO fundamentals.
• Experience maintaining, troubleshooting, and improving websites.
• Regular experience using AI tools such as ChatGPT, Claude, Gemini, Copilot, Cursor, etc.
• Strong research and problem-solving ability.
• Ability to work independently without requiring step-by-step instructions.
• Good attention to detail and QA mindset.
• Ability to manage tasks, deadlines, and project requirements.
• Good written and verbal communication skills.

Good to Have

Experience with some of the following would be valuable, but we don't expect candidates to have all of them:

• Google Analytics / GA4
• Google Search Console
• HTML / CSS / JavaScript
• Shopify Liquid
• WooCommerce
• Landing-page optimization / CRO
• Digital marketing
• Email marketing
• Google/Meta Ads
• Git/GitHub
• APIs
• AI-assisted development
• Zapier / Make / n8n or other automation tools
• Basic graphic/content tools such as Canva
• Working with designers, developers, marketers, or external clients

The Kind of Person We're Looking For

We are particularly interested in someone who thinks:

“I haven't done this before, but I can figure out how to do it.”

rather than:

“I haven't done this before, so someone needs to show me how.”

You should be someone who:

• Investigates problems before jumping to solutions.
• Is comfortable learning unfamiliar tools.
• Thinks beyond the exact task assigned.
• Notices issues and raises them proactively.
• Understands that completing a task is different from achieving the intended result.
• Uses AI to work faster but still applies human judgment.
• Takes responsibility for the quality of the final output.
• Can balance technical, user, and business considerations.

What This Role Is NOT

This is not:

• A pure React/frontend developer position.
• A pure WordPress page-builder position.
• A pure SEO position.
• A pure performance-marketing position.
• A pure project-manager position.
• An AI engineer/ML position.

It is a cross-functional digital role for someone who enjoys working across websites, SEO, AI, digital operations, troubleshooting, optimization, and project coordination.

Selection Process

Shortlisted candidates may be asked to complete a short 15–20 minute practical problem-solving assessment.

This will not primarily be a coding test.

You may be given a realistic digital problem and asked to explain:

• What you would investigate.
• How you would approach the problem.
• What you would prioritize.
• Which tools you would use.
• How AI could assist you.
• How you would verify your solution.
• How you would know whether the problem was actually solved.

We are more interested in how you think and approach unfamiliar problems than whether you already know every tool we use.

One important change I'd make to your hiring

I would actually use “Web & Digital Operations Specialist” as the public-facing title rather than “AI & Digital Operations Specialist.”

AI is still prominent in the JD, but putting AI first in the title can attract AI developers/engineers and candidates who primarily use AI tools, while your foundation is really websites + digital operations + SEO + ownership, with AI being how you want them to work.

This revised JD should also make candidates like Tarun, Shubham and Deepanshu easier to compare: you don't reject Tarun just because he isn't a PPC specialist, and you don't automatically favor Deepanshu because he's a strong marketer. The question becomes whether each candidate has the web/digital foundation + AI aptitude + ownership needed for this particular role.

only give JD That I can post

Web & Digital Operations Specialist

WordPress | Shopify | SEO | AI & Automation

Location: India – Remote / Hybrid

Experience: 3–6 Years

Employment Type: Full-Time

About the Role

We are looking for a hands-on Web & Digital Operations Specialist who can independently manage websites, support digital initiatives, use AI effectively, and take ownership of projects from requirement to completion.

This is not a traditional frontend developer role or a pure digital marketing role. We are looking for a versatile digital professional who is comfortable working across WordPress, Shopify, SEO, website optimization, AI tools, digital operations, QA, and project coordination.

You do not need to know everything. You do need to know how to figure things out, use the right resources, and deliver high-quality outcomes independently.

Key Responsibilities

Website Management & Optimization

• Build, update, and maintain websites using WordPress and/or Shopify.
• Create and optimize landing pages, product pages, forms, and website sections.
• Troubleshoot website issues and implement or coordinate fixes.
• Ensure websites are responsive and work effectively across devices and browsers.
• Improve website speed, usability, navigation, and overall user experience.
• Perform thorough QA of links, forms, images, content, CTAs, layouts, and functionality.
• Work with developers and designers when deeper technical support is required.

SEO & Digital Performance

• Handle fundamental on-page and technical SEO activities.
• Conduct keyword, competitor, and market research.
• Work with tools such as Google Search Console and Google Analytics/GA4.
• Identify opportunities to improve website traffic, engagement, and conversions.
• Understand how SEO, content, landing pages, user experience, traffic sources, and CTAs contribute to business results.
• Support broader digital marketing activities when required.

AI & Automation

• Use AI tools such as ChatGPT, Claude, Gemini, Perplexity, Cursor, Copilot, or similar tools for research, development, troubleshooting, content, analysis, and productivity.
• Critically review and verify AI-generated outputs rather than accepting them blindly.
• Use AI to research unfamiliar industries, technologies, competitors, and customer needs.
• Identify repetitive manual processes that can be improved or automated.
• Explore and implement automation using tools such as Zapier, Make, n8n, APIs, scripts, or similar platforms.
• Continuously identify opportunities to improve efficiency using AI and automation.

Project Management & Ownership

• Take ownership of projects from requirement gathering through final delivery.
• Break objectives into tasks, priorities, and timelines.
• Coordinate with developers, designers, content teams, marketers, clients, and other stakeholders.
• Manage multiple projects and priorities effectively.
• Track progress, dependencies, deadlines, and blockers.
• Communicate issues proactively and recommend solutions.
• Maintain documentation, checklists, and processes.
• Perform final QA before considering work complete.

Must-Have Skills

• 3–6 years of relevant web/digital experience.
• Hands-on experience with WordPress and/or Shopify.
• Strong understanding of responsive websites, usability, and website optimization.
• Practical knowledge of SEO fundamentals.
• Experience troubleshooting and maintaining websites.
• Experience using modern AI tools as part of day-to-day work.
• Strong research and problem-solving abilities.
• Ability to work independently without requiring step-by-step instructions.
• Good project coordination and time-management skills.
• Strong attention to detail and QA mindset.
• Good written and verbal communication skills.

Good to Have

Experience with some of the following is preferred, but we do not expect candidates to know everything:

• Google Analytics / GA4
• Google Search Console
• HTML, CSS, JavaScript
• Shopify Liquid
• WooCommerce
• Landing page optimization / CRO
• Digital marketing
• Google Ads / Meta Ads
• Email marketing
• Git / GitHub
• APIs
• AI-assisted development
• Zapier / Make / n8n
• Canva or similar content/design tools

Who Will Succeed in This Role?

You will be a strong fit if you:

• Enjoy working across different areas rather than specializing in only one.
• Can take an objective and independently determine how to achieve it.
• Are comfortable researching and learning unfamiliar tools or technologies.
• Investigate problems before jumping to solutions.
• Think beyond the exact task assigned and consider the overall business outcome.
• Proactively identify issues and opportunities for improvement.
• Use AI to work faster while applying your own judgment.
• Take responsibility for the quality of the final output.
• Are comfortable balancing websites, SEO, digital operations, AI, automation, and project coordination.

Selection Process

Shortlisted candidates may complete a 15–20 minute practical digital problem-solving assessment.

This is not primarily a coding test. The assessment will focus on problem-solving, independent thinking, website and digital awareness, AI usage, prioritization, quality control, learning ability, and ownership.

If you enjoy figuring things out, learning new tools, improving digital experiences, and using AI to work smarter, we'd love to hear from you.

About Comprinno

Comprinno is a NASSCOM-incubated company headquartered in Bangalore, with offices in Pune, Coimbatore, and the United States. We specialize in cloud transformation, DevOps, infrastructure automation, managed services, Data Analytics, and Artificial Intelligence, enabling organizations to build scalable, secure, and high-performing cloud environments on AWS.

Our flagship SaaS platform, Tevico, offers intelligent cloud governance and observability for AWS workloads. It helps enterprises improve uptime, reduce costs, and ensure compliance by proactively detecting anomalies and triggering automated remediation workflows.

As one of the leading AWS consulting partners in the APJ region, Comprinno helps startups and enterprises accelerate growth through cloud migration, modernization, security, managed services, and GenAI-driven innovation.

About the Role

We are looking for a high-energy, entrepreneurial, and consultative Account Executive – Startups & Digital Native Business to drive growth within India's startup ecosystem.

This role is ideal for someone who understands startup buying behavior, thrives in fast-moving environments, and can engage founders, CTOs, engineering leaders, and product teams in meaningful business conversations.

You will own the complete sales cycle—from opportunity qualification to deal closure—while positioning Comprinno's Cloud, DevOps, Managed Services, Data Analytics, and AI offerings to help startups scale efficiently.

The ideal candidate combines strong business acumen, consultative selling skills, startup ecosystem awareness, and a passion for technology-led transformation.

Key Responsibilities

Own the Startup Sales Motion End-to-End

• Own the complete sales cycle:
• Discovery
• Qualification
• Solutioning
• Proposal Development
• Commercial Negotiation
• Deal Closure
• Manage opportunities sourced through:
• Marketing-generated leads
• Inbound inquiries
• Outbound prospecting
• AWS referrals
• Startup ecosystem partnerships
• Consistently achieve quarterly and annual revenue targets.
• Maintain accurate pipeline visibility and forecasting within CRM systems.

Consultative Cloud & AI Selling

• Engage founders, CTOs, VP Engineering, Product Leaders, and technology decision-makers.
• Understand customer business objectives, growth challenges, and technology priorities.
• Position Comprinno's offerings including:
• Cloud Migration
• Cloud Modernization
• Platform Engineering
• DevOps Transformation
• Managed Services
• Security & Compliance
• Data Analytics
• Generative AI
• Articulate business value, ROI, scalability, and operational benefits.
• Collaborate closely with Presales and Solution Architecture teams for technical solutioning.

Startup Ecosystem Development

• Build and maintain strong relationships with:
• Startup Founders
• CTOs
• Accelerators
• Incubators
• Venture Capital Firms
• Startup Communities
• Represent Comprinno at startup events, meetups, hackathons, webinars, and industry forums.
• Build ecosystem-driven lead generation channels.
• Create long-term strategic relationships within the startup ecosystem.

AWS Startup Program Alignment

• Collaborate with AWS Startup, ISV, and Digital Native Business teams.
• Leverage AWS programs including:
• AWS Activate
• MAP
• Well-Architected Reviews
• GenAI Programs
• Startup Funding Initiatives
• Build relationships with AWS Startup Account Managers and Startup Solution Architects.
• Position Comprinno as a trusted AWS implementation and innovation partner.

Revenue Growth & Account Expansion

• Drive acquisition of new startup customers.
• Identify upsell and cross-sell opportunities within existing accounts.
• Expand engagements from:
• Migration
• Modernization
• Managed Services
• Data & AI
• Security
• Develop long-term account growth strategies.

Collaboration & Market Feedback

• Work closely with:
• Marketing
• SDR Teams
• Presales
• Delivery Teams
• AWS Partner Teams
• Provide market intelligence and customer feedback.
• Help refine messaging, offerings, and GTM strategies for startup customers.
• Contribute to startup-focused sales playbooks and best practices.

Required Qualifications & Skills

• Bachelor's degree in Engineering, Technology, Computer Science, or related disciplines.
• 4–7 years of experience in B2B technology sales, cloud consulting sales, IT services sales, or startup-focused solution sales.
• Strong understanding of India's startup ecosystem, including Seed, Series A, Series B, and growth-stage companies.
• Experience selling one or more of the following:
• Cloud Services
• DevOps Services
• Managed Services
• Data Analytics
• AI/GenAI Solutions
• SaaS Platforms
• Proven ability to engage founders, CTOs, and senior technology stakeholders.
• Strong consultative selling and value-based sales skills.
• Excellent communication, presentation, negotiation, and relationship-building abilities.
• Experience managing opportunities through the complete sales lifecycle.
• Strong CRM discipline and forecasting accuracy.
• High ownership mindset and ability to operate independently.

Desired Qualifications & Skills

• MBA from a reputed institution.
• AWS Cloud Practitioner or AWS Solutions Architect – Associate certification.
• Experience working with AWS Partner ecosystem and startup programs.
• Existing network within startup, VC, accelerator, or founder communities.
• Exposure to Cloud, Data Analytics, AI, or GenAI solution selling.
• Experience working in high-growth startup or consulting environments.

What We're Looking For

• Entrepreneurial mindset and startup DNA.
• High urgency and execution focus.
• Strong hunter mentality with account expansion capability.
• Ability to simplify complex technology into business outcomes.
• Curiosity, resilience, and continuous learning mindset.
• Relationship-oriented approach with strong commercial acumen.
• Passion for helping startups scale through technology.

What Success Looks Like

• Consistent achievement of quarterly and annual revenue targets.
• Strong pipeline generation and opportunity conversion rates.
• High win rates within startup and digital-native accounts.
• Successful acquisition of new startup customers.
• Growth of AWS-sourced and ecosystem-driven opportunities.
• Strong CRM hygiene and forecasting accuracy.
• Creation of repeatable startup sales playbooks and best practices.
• Meaningful contribution to Comprinno's startup ecosystem presence.

Why Join Comprinno

• Work with one of the leading AWS consulting partners in India and APJ.
• Engage with some of the fastest-growing startups and digital-native businesses.
• Sell cutting-edge Cloud, DevOps, Data Analytics, and AI solutions.
• Collaborate closely with AWS Startup teams and ecosystem partners.
• Accelerate your career in a high-growth, high-impact environment.
• Join a culture that values ownership, innovation, learning, and customer success.

SRE / Success Engineering role focused on production operations, reliability, AWS infrastructure, monitoring, incident management, and platform support for the ZT platform.

Core responsibilities include:

• Production monitoring and debugging of live systems.
• Incident investigation, troubleshooting, and problem resolution.
• AWS cloud infrastructure support and maintenance.
• Deployment and operational support activities.
• Supporting a 24x7 production environment.
• Working with GitHub-based development workflows.
• Technical debt remediation and platform improvements.
• Customer issue investigation and support.
• Security and compliance-related work, including FedRAMP initiatives.

Preferred Skills:

AWS (especially S3 and EC2)

Strong debugging and troubleshooting skills

Site Reliability Engineering (SRE) experience

GitHub experience

Basic software development skills

TypeScript/JavaScript knowledge

C# preferred

AI experience is a plus.

Candidate should be a hands-on engineer with strong AWS, SRE, operational ownership, production support, and debugging capabilities, rather than a pure application or full-stack developer.

EMBEDDED AI ENGINEERING POD

AI Implementation Engineer Role

Level: AI Implementation Engineer Senior / Advanced - 6+ years

Practice: Wissen GenAI

Locations: Mumbai / Bengaluru / New York - hybrid, embedded with delivery teams

Reports to: EMBEDDED AI PRACTICE Senior AI Engineering Specialist (Architect); Wissen GenAI Program Lead

Embedded inside enterprise delivery teams, you work closely with global, cross-regional teams to turn prioritized GenAI use cases into production software - building, integrating, and hardening Azure-based AI solutions and accelerating adoption within the teams you join.

You deliver production software and help the teams you join work faster.

As an embedded AI Implementation Engineer, you help convert prioritized use cases into shipped, governed, measurable software.

Key responsibilities

1. Build and ship.

Implement GenAI features end to end on Azure - RAG pipelines, agents, APIs, and UI integrations - against enterprise systems and data.

2. Embed and enable.

Work inside the delivery pods: pair with their engineers, remove blockers, and transfer GenAI skills so adoption sticks after you move on.

3. Productionize.

Add evaluation, observability, guardrails, caching, and CI/CD so prototypes become reliable, cost-efficient services.

4. Integrate securely.

Connect to enterprise data with correct access control, secrets management, and compliance with enterprise security standards and handling of sensitive data.

5. Iterate on quality.

Use evaluation results and user feedback to improve grounding, accuracy, latency, and cost.

6. Measure.

Track delivery and quality metrics that roll up to the program's targets.

Must-have qualifications

• 6+ years in software engineering, with 2+ years building GenAI/LLM applications in production.
• Strong Python (incl. async) and Java (the primary enterprise application stack; Spring a plus); solid API and systems design.
• Azure GenAI hands-on: Azure OpenAI, Azure AI Foundry, Azure AI Search for RAG, Azure AI Document Intelligence (IDP), and Prompt Flow.
• Agent frameworks: Microsoft Agent Framework / Semantic Kernel / AutoGen (or LangChain / LangGraph) and tool / function calling.

Preferred

• RAG fundamentals: embeddings, chunking, vector search, reranking, and grounding.
• Data platforms: Snowflake including Cortex AI (Cortex Search, LLM functions) and SQL, for accessing and grounding on enterprise data.
• Prompt engineering as versioned code; building and running evaluations.
• DevOps: Azure DevOps / GitHub Actions, Docker, AKS / Azure Functions, and observability.
• Financial services or other regulated environments.
• Front-end (React) for AI-assisted UX; streaming and token level operations.
• Azure AI Content Safety and responsible-AI practices.
• Certification: Azure AI Engineer Associate.

What success looks like - first 6 to 12 months

• Multiple GenAI features shipped to production within the embedded delivery pods.
• Measurable adoption and productivity uplift in the teams you support.
• Reusable components adopted from the architects' reference framework.
• Clear contribution to faster time-to-market and lower defect rates.

Role Overview

We are looking for enthusiastic and driven freshers who are passionate about building real-world solutions using Python, Artificial Intelligence/Machine Learning, and Full Stack Development. This opportunity is designed for candidates who are eager to learn, experiment, and grow in a fast-paced, hands-on environment.

Training & Evaluation Period

- Initial Unpaid training period of 3 months, extendable up to 6 months based on individual performance (Its completely unpaid and no Stipend is provided)

- This phase focuses on practical learning, project exposure, and skill development

- Continuous evaluation based on technical skills, problem-solving, consistency, and ownership

Full-Time Conversion

- Full-time offer based on performance

- Compensation aligned with demonstrated skills and contribution

- High-performing candidates can expect strong growth opportunities and competitive salary

Key Responsibilities

- Work on real-time AI/ML and application development projects

- Contribute to full stack development (frontend and backend)

- Write clean, scalable code using Python and modern frameworks

- Collaborate with team members to build and deploy solutions

- Continuously learn and apply new technologies

Required Skills

- Basic understanding of Python

- Knowledge of AI/ML concepts

- Familiarity with full stack technologies (HTML, CSS, JavaScript, backend basics)

- Strong problem-solving skills

- Willingness to learn and adapt

Important Notice

• There are no fees involved, no bond

• Also, the training is completely unpaid

About the Role We are seeking a highly technical, hands-on Senior AI/ML Tech Lead to drive the design, development, and deployment of cutting-edge Generative AI applications. In this dual-impact role, you wi l act as a primary individual contributor architecting core AI engines while simultaneously leading a team of engineers through task alocation, code reviews, and technical mentorship. The ideal candidate bridges the gap between state-of-the-art AI research (LLMs, Agentic frameworks, Advanced RAG, OCR) and production-grade ful-stack engineering (Python, FastAPI, React).

Key Responsibilities

Technical Leadership & Team Management (40%)

● Technical Oversight: Lead a team of AI, backend, and ful-stack engineers; alocate tasks, establish sprint priorities, and ensure timely delivery.

● Code Quality & Reviews: Conduct rigorous code reviews to maintain high engineering standards, security, performance, and scalability across AI and fu l-stack codebases.

● Architecture & Governance: Design end-to-end system architectures for AI solutions, ensuring seamless integration between frontend interfaces, backend APIs, and AI models.

● Mentorship: Guide and upskil team members on modern software practices, LLM engineering, and agentic design patterns. Hands-On Engineering & Development (60%)

● Generative AI & Agentic Systems: Architect, build, and optimize LLM-powered applications, multi-agent workflows (e.g., CrewAI, AutoGen, LangGraph), and autonomous AI agents.

● RAG & OCR Pipelines: Design and deploy advanced RAG (Retrieval-Augmented Generation) architectures and document processing pipelines utilizing OCR techniques (e.g., LayoutLM, PaddleOCR, Tesseract, Vision LLMs) to extract structured data from unstructured sources.

● Backend Systems: Build robust, asynchronous, high-throughput microservices and RESTful APIs using Python and FastAPI.

● Frontend Integration: Colaborate on or build modern web interfaces using React (e.g., Control Towers, operations dashboards, interactive chat interfaces).

● MLOps & Vector DBs: Oversee model deployment, prompt engineering, fine-tuning, vector database integration (Pinecone, Qdrant, Chroma, PGVector), and cloud infrastructure setup (Azure/AWS).

Required Qualifications & Skills

● Overall Experience: 8 to 10 years of professional software engineering experience.

● AI/ML Domain Experience: 3 to 4+ years of dedicated, hands-on experience building and deploying AI/ML, OCR, and Generative AI solutions in production.

● Core Technical Stack: ○ Generative AI & LLMs: Extensive experience with commercial and open-source LLMs (OpenAI, Anthropic Claude, Llama), Agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI), and LLM evaluation frameworks (LangSmith, TruLens, Ragas). ○ RAG & Unstructured Data: Strong knowledge of hybrid search, re-ranking, chunking strategies, vector databases, and document inte ligence workflows. ○ OCR & Vision Techniques: Hands-on experience with OCR engines (Tesseract, PaddleOCR, Azure Document Inteligence) and Multi-Modal/Vision LLMs for document extraction. ○ Backend: Deep expertise in Python and asynchronous frameworks (FastAPI, AsyncIO). ○ Frontend: Working proficiency in React (TypeScript/JavaScript) for building interactive web UI components. ○ Cloud & DevOps: Hands-on experience with cloud platforms (Azure / AWS), Docker, Kubernetes, and CI/CD pipelines.

Preferred / Good-to-Have Skills

● Experience with cloud-native data platforms (e.g., Microsoft Fabric, Snowflake, Azure SQL).

● Familiarity with cost optimization and latency reduction techniques for LLM inference (caching, semantic routing, model quantization).

● Prior experience in client-facing technical leadership or agile consulting environments.

What We Offer

● Opportunity to lead and build high-impact, state-of-the-art Generative AI systems.

● Colaborative engineering culture with room for technical ownership and direct business impact.

● Flexible work arrangements and competitive compensation package.

Responsibilities Include:

● Architecting, building, testing, and deploying applications that support our transportation network

● Modifying designs and specifications of complex applications

● Collaborating and adding value through participation in peer code reviews, providing comments and suggestions

● Leverage AWS and other cloud technologies to design and implement systems in a serverless and event-driven environment

● Working with technical and non-technical end-users, other engineers, and product managers in a cross-functional, quick-moving, and collaborative environment

● Analyzing code, requirements, system risks, and software reliability and providing recommendations on how to leverage our technology more efficiently

● Working with Product and Design to confirm requirements, prioritization, and development of new features

● Design and implement LLM-powered features to solve complex logistics challenges, automate manual operational workflows, and unlock new efficiencies for our network.

● Champion AI-assisted engineering practices by integrating machine learning and intelligent automation into our CI/CD pipelines to predict deployment risks and accelerate delivery cycles.

What You Bring:

● Ability to adapt to changing requirements and work in a fast-paced environment.

● Ability to work effectively in a cross-functional team environment.

● 7+ years of experience building, testing and deploying applications in high-traffic production environments

● 7+ years of experience developing software with Javascript, Node.js and React

● Enjoys taking initiative, is a self-starter, willing to move fast and ship quick, and is excited about collaborating on big challenges

Preferred Qualifications:

● Experience in transportation, logistics or network orchestration systems is highly desirable

● Experience working in a remote first environment.

● Proficiency with AWS, GCP, or similar cloud platforms.

● Strong skills in React and Node.js for end-to-end development. 

Job Title: Backend Developer Trainee

Location: Indore, Madhya Pradesh

Experience: 0–6 Months

Job Type: Full-Time | Work From Office

Job Overview

TechnoToil is looking for a motivated Backend Developer Trainee who is eager to learn, build scalable applications, and work with modern backend technologies. The ideal candidate should have a strong learning attitude and be comfortable using AI tools in development workflows.

Roles & Responsibilities :- 

• Develop and maintain backend applications and APIs.
• Write clean, efficient, and maintainable code.
• Work with databases and perform basic database operations.
• Assist in developing, testing, debugging, and optimizing backend functionality.
• Integrate APIs and third-party services as required.
• Collaborate with frontend developers and other team members.
• Use AI tools to improve coding, debugging, documentation, and development productivity.
• Learn and adapt to new backend technologies and development practices.
• Follow coding standards and development best practices.

Requirements:-

• Graduation must be completed.
• 0–6 months of experience; freshers and trainees are welcome.
• Basic understanding of backend development concepts.
• Knowledge of any backend programming language/framework is an advantage.
• Good communication and problem-solving skills.
• Strong willingness to learn and grow.
• Candidate must be comfortable working with AI tools as part of the development process.
• Ability to work effectively in a team.

Job Location:-

2nd Floor, Building Number 79, Main Road, Behind C21 Mall, Scheme 54 PU4, Indore

Role- Sr Senior Engineer 

Location -Hyderabad 

Shift -Night Shift starts from 8:30 PM IST 

About The Role

As a Senior Engineer on the team, you will own systems end to end across a high-volume, event-driven surface. You'll build the APIs and services behind key initiatives including:

- The driver comms platform — the rules engine, cohorting, and scheduling that reach drivers across SMS, push, and email

 - The onboarding funnel and applicant tracking layer, architected to support Veho's move to an in-house system over time

 - Live selling workflows that turn live offer and market-clearing data into well-timed, well-targeted driver outreach

You'll partner closely with Product, Design, Operations, and Data Science to ship tooling that scales with Veho's growth.

Responsibilities Include:

- Design, build, test, and deploy features across the driver-facing apps (driver mobile app, onboarding and registration surfaces), our GraphQL APIs, and the event-driven services behind them

 - Own a problem end to end: write the design doc your team works from, build it, roll it out behind a feature flag, and stay on it after launch until it is stable

 - Own the driver comms platform — the rules engine, cohorting, and scheduling that decide when to reach a driver over SMS, push, or email, and the delivery services behind it

 - Build the onboarding funnel and applicant tracking layer: registration and set-password flows, consent and eligibility gating, and the integrations that track where every applicant sits in the funnel

 - Build live selling workflows that consume live offer data and market-clearing signals to notify the right driver cohorts only when routes are actually claimable

 - Contribute to architectural decisions and technical design for complex, distributed systems, and architect today's comms and onboarding infrastructure so it supports the eventual in-house replacement of our third-party ATS rather than becoming throwaway work

 - Break a project into milestones your product, design, ops, and data partners can plan against

 - Write correctness-first code in an event-driven system where delivery is at-least-once and no driver may be texted twice about the same route — and where a send must never fire when there is no offer to claim

 - Improve reliability and observability in the services you own, with alerts that fire on real problems and stay quiet otherwise, so an on-call engineer is paged for a broken send pipeline and not for noise

 - Propose the engineering work your team should be doing, including the reliability, data-quality, and compliance work nobody is asking for

 - Use AI-native development workflows and tooling (Claude Code, Cursor, Copilot, and similar) as part of how you ship

 - Mentor the engineers around you, keep the team's code review bar high, and write down what you learn

What You Bring:

- 5–7+ years of experience building, testing, and deploying applications in high-traffic production environments

 - Depth in AWS serverless, including Lambda, a managed GraphQL layer such as AppSync, DynamoDB, EventBridge, and SQS

 - Experience with event-driven systems and the idempotency work that comes with at-least-once delivery — especially in a comms context where duplicate or misfired messages reach real people

 - Strong full-stack experience with TypeScript, Node.js, GraphQL, and React

 - Experience with DynamoDB single-table design

 - Experience integrating with third-party platforms and their webhooks, and keeping the data they produce in sync and trustworthy across services

 - At least one project owned through production rollout, including what broke afterward and who fixed it

 - Experience operating a service in production long enough to own its failure modes

 - Judgment about what a design costs in engineering time, dollars, and vendor commitment

 - A self-starter mindset with the ability to move quickly and ship iteratively, including on migrations, compliance obligations, and the manual steps nobody has automated yet

 - Enthusiasm for working closely with product, design, operations, data science, and support partners

-Tech Stack: AWS, TypeScript, Node.js, React, React Native, GraphQL, DynamoDB, serverless event-driven architecture; 

multi-channel comms (SMS, push, email); Firebase Auth; Statsig for experimentation; Redshift/Databricks-backed data pipelines

Preferred:

 - Experience with applicant tracking / recruiting funnels or other funnel-driven onboarding systems, and the drop-off analysis that improves them

 - Experience with experimentation and analytics infrastructure (Statsig, Fivetran, Redshift, Databricks) to measure and tune what you ship

 - Consent modeling and compliance obligations (e.g., driver terms-and-conditions and messaging consent) that span services

We are seeking Generative AI Developers with strong Python programming and AI/ML expertise to build, deploy, and optimize LLM-powered applications. The role involves developing RAG solutions, AI agents, and enterprise GenAI applications while collaborating with cross-functional teams.

Key Responsibilities

• Develop and enhance Generative AI applications using LLMs and AI frameworks.
• Build and optimize RAG pipelines, vector search, and AI-powered workflows.
• Design effective prompts and fine-tune models using techniques such as LoRA and QLoRA.
• Develop REST APIs and integrate AI capabilities into enterprise applications.
• Deploy, monitor, and maintain AI solutions in cloud and containerized environments.
• Ensure code quality through testing, debugging, documentation, and code reviews.
• Follow Responsible AI, security, and data governance practices.

Required Technical Skills

• Strong proficiency in Python, OOP, APIs, debugging, and software development best practices.
• Good understanding of Data Structures & Algorithms, complexity analysis, and problem-solving.
• Hands-on experience with LLMs, Prompt Engineering, RAG, AI Agents, and embeddings.
• Experience with LangChain, LangGraph, LlamaIndex, Hugging Face, or similar frameworks.
• Knowledge of vector databases, semantic/hybrid search, and retrieval architectures.
• Experience with PyTorch, TensorFlow, or Keras.
• Familiarity with Docker, Git, CI/CD, and cloud platforms (Azure/AWS/GCP).
• Understanding of AI governance, data privacy, and Responsible AI principles.

Preferred Skills

• Experience with Agentic AI frameworks (CrewAI, AutoGen, Semantic Kernel).
• Exposure to Azure AI Foundry, Databricks, or enterprise AI platforms.
• Knowledge of multimodal AI applications.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
• 5 years of software development experience, including AI/ML or Generative AI projects.
• Experience building and deploying production-grade AI solutions.

Assessment Focus Areas

Candidates will be evaluated on:

• Python coding and problem-solving
• Data Structures & Algorithms
• LLMs, RAG, and Agentic AI concepts
• API development and system design
• Cloud deployment and AI solution architecture

Roles & Responsibilities

• Design and develop intelligent AI-based applications using advanced NLP and LLM techniques to solve real-world business challenges in financial services.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines leveraging structured and unstructured financial data.
• Integrate and orchestrate LLMs/SLMs for question-answering, summarization, semantic search, and document understanding.
• Develop and maintain RESTful APIs (sync and async) to serve NLP models and chatbot interfaces using frameworks like FastAPI, Flask, etc.
• Should have knowledge of advanced prompting techniques.
• Implement semantic search, hybrid search, and text retrieval systems using Elasticsearch and vector databases (e.g., FAISS, Pinecone, Weaviate).
• Perform NLP tasks such as entity recognition, text classification, intent detection, embedding generation, and sentiment analysis where required.
• Monitor and fine-tune LLM/SLM performance with real-world user data to improve relevance, latency, and accuracy.
• Exposure to LLMOps tools for monitoring, evaluation, and versioning of AI models in production.
• Build, train, and evaluate deep learning models for NLP tasks including classification, NER, summarization, and embedding generation.
• Develop traditional machine learning models (e.g., regression, decision trees, clustering) for structured data analysis and prediction tasks.
• Interact with cross-functional teams to understand system issues and follow up with respective teams to get them fixed.
• Understand and identify areas of improvement across businesses and participate in solution identification and implementation.
• Should be able to work as an Individual Contributor on new and existing projects.
• Positive and problem-solving attitude, must work as an independent contributor.

Ideal Candidate

1.Strong Data Scientist / AI Engineer / Generative AI Engineer profile.

2.Mandatory (Experience 1) - Must have 3+ years of hands-on experience in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, NLP, or Generative AI application development.

3.Mandatory (Experience 2) - Must have strong hands-on experience in Python programming, backend development, API development, and production-grade application support

4.Mandatory (Experience 3) - Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, or Scikit-learn.

5.Mandatory (Experience 4) - Must have hands-on experience in NLP use cases such as text classification, sentiment analysis, entity recognition (NER), semantic search, embeddings, or document understanding.

6.Mandatory (Experience 5) - Must have experience working with Large Language Models (LLMs) such as GPT, LLaMA, Mistral, Phi, Claude, Gemini, or similar models

.7.Mandatory (Experience 6) - Must have hands-on experience building or implementing Retrieval Augmented Generation (RAG) solutions, vector search, semantic search, or knowledge-based AI applications.

8.Mandatory (Experience 7) - Must have experience with Prompt Engineering and Generative AI frameworks such as LangChain, LangGraph, AI Agents, Azure OpenAI, or similar technologies.

9.Mandatory (Experience 8) - Must have experience developing, consuming, or integrating APIs using Python frameworks such as FastAPI, Flask, or similar technologies.

10.Mandatory (CTC) - The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

11.Preferred (Experience 1) - Experience with LLMOps/MLOps tools for monitoring, evaluation, experimentation, and versioning of AI models.

12.Preferred (Experience 2) - Exposure to Azure OpenAI, Azure Kubernetes Service (AKS), Kubernetes, cloud-native AI deployments, or distributed systems.

13.Preferred (Experience 3) - Experience working with PostgreSQL, MongoDB, Redis, Kafka, or large-scale data platforms.

14.Preferred (Experience 4) - Familiarity with Docker, Kubernetes, cloud platforms, and scalable deployment architecture.

15.Preferred (Company) - Candidates from AI-first startups, product companies, SaaS organizations, fintech, or data-driven technology companies.

16.Mandatory ( Age ) - Candidate Should be Below 28 Years.

17.Mandatory ( Pedigree) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered.

Senior Platform & Site Reliability Engineer

Location: Remote Employment Type: Contract

The Role

This role carries full architectural and operational ownership of the platform layer across a growing SaaS portfolio. The Cloud Architect owns AWS infrastructure standards — VPCs, account structures, networking, and compute design. Everything outside that lane is yours: the CI/CD platform, the observability and reliability stack, the event streaming infrastructure, the deployment pipelines, and the incident engineering model.

Architectural decisions are yours to make and defend, standards are yours to define and enforce, and the reliability of 20+ enterprise SaaS products depends on what you and your team build.

This is an AI-native engineering organisation. Where it is practical and safe to do so, you are expected to use automation and AI-assisted tooling to reduce toil — in CI/CD triage, infrastructure provisioning, observability workflows, and acquisition onboarding. The expectation is not to replace engineering judgement with automation, but to free it up for the problems that genuinely require it.

The Scale You Will Operate At

The portfolio consists of 20+ live, enterprise-grade SaaS solutions running concurrently. Each product serves enterprise customers and processes millions to billions of real-time requests. The architecture is serious: event streaming for real-time data pipelines, batch processing workloads running alongside live transaction flows, and multi-tenant enterprise-grade reliability expectations across every product.

You will design and operate the platform infrastructure that underpins all of it — scaling horizontally as each new acquisition joins the portfolio, without proportionally scaling cost, complexity, or headcount.

What You Will Own

Platform Architecture

• Full architectural ownership of the non-AWS toolchain: CI/CD, observability, event streaming, automation, secrets, and deployment infrastructure
• Define, build, and enforce platform standards across portfolio products
• Terraform IaC for all infrastructure — nothing provisioned manually, everything versioned and reviewed
• Self-service developer platform so product teams ship without waiting on platform

Event Streaming & Pipeline Infrastructure

• Own the event streaming architecture, operational standards, and health monitoring across all products using real-time pipelines
• Design and maintain batch processing infrastructure alongside live event flows
• Ensure pipeline reliability, throughput, and cost are actively managed at scale

CI/CD & Deployment

• Build and maintain CI/CD pipelines (GitHub Actions) across all portfolio products
• Automate triage and retry logic for known failure classes — flaky tests, dependency timeouts, OOM kills — so engineers are only paged for genuinely novel failures
• Deployment standards: release management, rollback mechanisms, canary and blue-green patterns where justified

Observability & Reliability

• Own the full observability stack: Grafana, Prometheus, and Loki across all products
• SLOs and error budgets defined per product; reliability tracked consistently
• Build alerting that correlates signals and surfaces diagnostic context alongside notifications — so on-call engineers arrive at an incident with hypotheses, not a blank screen
• Incident response: on-call design, escalation playbooks, post-mortem facilitation
• Automated remediation scoped to safe, idempotent actions — container restarts, ECS task scaling, known rollback patterns; novel or ambiguous failures escalate to a human with full context attached

Acquisition Onboarding

• Platform audit and gap analysis for every new acquisition — assessing CI/CD maturity, IaC coverage, observability gaps, and security posture
• Migration plan and execution for each portfolio company joining the platform — sequenced to avoid disrupting live operations
• Target: full platform integration within a defined window per acquisition

A Note on Automation

Where automation is safe and failure modes are well understood — routine provisioning, known CI/CD failure classes, secrets rotation, cost anomaly flagging — aggressive automation is expected. Where automation would act on ambiguous signals or carry significant blast radius, human judgement stays in the loop. The goal is to reduce toil on solved problems, not to automate decisions that require engineering expertise.

Platform Stack

Area Stack / Standard IaC Terraform OSS / OpenTofu CI/CD GitHub Actions Event Streaming Architecture and tooling chosen for the workload Observability Grafana, Prometheus, Loki Log Management AWS CloudWatch, Grafana Loki Incident Management OpsGenie (startup tier) or Better Uptime Secrets AWS Secrets Manager / HashiCorp Vault OSS Containers ECS (default), EKS only where justified Cost Monitoring AWS Cost Explorer with custom dashboards What We’re Looking For

• 8–12 years in platform engineering, DevOps, or SRE — with clear evidence of increasing ownership over time
• Strong Terraform depth across multi-environment, multi-account setups
• CI/CD ownership across a multi-product environment with GitHub Actions
• Experience with event streaming infrastructure at production scale — design, operations, reliability, and cost management
• Hands-on Grafana, Prometheus, and Loki in production
• AWS operational depth: ECS, EKS, RDS, IAM, VPC, CloudWatch, Cost Explorer
• SRE fundamentals: SLOs, error budgets, on-call design, post-mortem culture
• Acquisition or greenfield platform integration experience strongly preferred

How You Work

• Comfortable operating across multiple products simultaneously — context-switching without dropping standards
• Cost-efficiency instinct — you optimise spend as a habit, not as a project
• You treat automation as a tool for eliminating toil, not a substitute for engineering judgement
• You document decisions, enforce standards through code, and build platforms that other engineers find intuitive to use

Why This Role

The platform function is being built from the ground up. You will have architectural ownership of the entire non-AWS platform layer across a growing portfolio of enterprise SaaS products, with the freedom — and responsibility — to build the reliability and delivery culture of the organisation.

This is not a role that inherits someone else’s decisions and maintains them. Every major architectural choice is still to be made. If you want to build something that lasts and that other engineers depend on, this is the role.

Strong AI/ML Engineer profile with experience in GEO work

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Mandatory (Experience 1): Must have 5+ years of experience in rank modelling for GEO

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Mandatory (Experience 2): Must have 5+ year of experience in GEO (Generative Engine Optimization), AEO (Answer Engine Optimization), or SGE (Search Generative Experience), including optimizing for AI-driven search interfaces, conversational queries, and generative search experiences.

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Mandatory (Experience 3): Must have hands-on exposure to prompt engineering, embeddings, vector search, or RAG-based systems

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Mandatory (Skills 1): Deep understanding of how modern search engines and AI-driven systems rank and generate responses, including semantic search and entity-based optimization

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Mandatory (Skills 2): Exposure to AI/LLM ecosystems such as ChatGPT, Google Gemini, or similar platforms, including understanding of how responses are generated and ranked

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Mandatory (Skills 3): Understanding of content structuring for AI consumption (schema, context building, knowledge representation)

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Mandatory (Education) - B.Tech or Dual degree (Btech and Mtech or Integrated Msc/MS) from Tier 1 Engineering Institutes (IITs, NITs, VIT, BITS, DTU, NSUT)

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Mandatory (Company) - Only Top product companies with high scale (Tier2 companies wont be considered)

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Mandatory (Note) - Output of Candidate's work on AI Engineering for GEO should also be mentioned in resume