50+ Artificial Intelligence (AI) Jobs in India

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.

About the Role

We are looking for passionate and driven interns across multiple technology domains including Frontend Development, Backend Development, DevOps, AI/ML, and Data Engineering. This internship offers hands-on experience in real-world projects, collaboration with cross-functional teams, and exposure to modern tools and technologies. 

Domains & Responsibilities 

Frontend Development 

• Build responsive and user-friendly web interfaces  
• Translate UI/UX designs into functional applications  
• Optimize performance and ensure cross-browser compatibility  

 Backend Development 

• Develop APIs and server-side logic  
• Work with databases and data storage solutions  
• Ensure application security and performance  

 DevOps 

• Assist in CI/CD pipeline setup and automation  
• Manage deployments and cloud infrastructure  
• Monitor system performance and reliability  

 AI / Machine Learning 

• Develop and train ML models  
• Work on NLP, automation, or AI-driven features  
• Analyze datasets and evaluate model performance  

 Data Engineering 

• Build and maintain data pipelines (ETL/ELT)  
• Ensure data quality and availability  
• Work with large datasets and optimize data workflows  

 Required Skills (Any Domain) 

• Frontend: HTML, CSS, JavaScript, React/Vue/Angular  
• Backend: Node.js / Python / Java / PHP, APIs, databases  
• DevOps: Linux, Git, CI/CD basics, cloud fundamentals  
• AI/ML: Python, ML basics, TensorFlow/PyTorch/Scikit-learn  
• Data Engineering: SQL, Python, data processing concepts  

 Good to Have 

• Knowledge of Git and version control  
• Basic understanding of cloud platforms (AWS/Azure/GCP)  
• Problem-solving mindset and willingness to learn  
• Exposure to real-world or academic projects  

 Who Should Apply 

• Students or recent graduates in Computer Science, IT, or related fields  
• Candidates with strong interest in any of the above domains  
• Self-learners with project experience are highly encouraged  

 Internship Details 

• Duration: 3–6 months  
• Mode: Remote  
• Certificate + PPO (Pre-Placement Offer) based on performance  

 What You’ll Gain 

• Hands-on experience with real projects  
• Mentorship from experienced professionals  
• Exposure to industry tools and workflows  
• Opportunity to convert to a full-time role 

Euphoric Thought Technologies is a specialized technology firm focused on building high-impact digital solutions at the intersection of spatial intelligence and advanced computing. We operate primarily within the geospatial analytics and enterprise software sectors, delivering scalable platforms that transform complex data into actionable insights for global clients. Our culture is built on technical rigor, collaborative problem-solving, and a commitment to engineering excellence, providing a high-growth environment for engineers who thrive on solving non-trivial architectural challenges.

Role Overview:

As a Tech Lead Consultant, you will spearhead the design and implementation of sophisticated systems that integrate AI-driven analytics with large-scale GIS data. You will act as the primary technical bridge between our engineering team and key stakeholders, ensuring that our full-stack architecture remains robust, secure, and performant. Your day-to-day will involve hands-on coding, architectural decision-making, and mentoring team members to deliver high-quality software that directly influences our clients' operational efficiency and strategic decision-making processes.

Key Responsibilities:

• Architect and develop end-to-end full-stack applications that seamlessly integrate complex GIS data layers to provide intuitive user experiences.
• Design and deploy AI/ML models into production environments to automate spatial data processing and enhance predictive accuracy for end-users.
• Establish and maintain CI/CD pipelines and cloud infrastructure to ensure high availability, scalability, and security of our software delivery lifecycle.
• Lead technical discussions with cross-functional teams to translate complex business requirements into modular, maintainable, and efficient codebases.
• Optimize system performance by identifying bottlenecks in data processing and implementing scalable solutions that handle high-volume geospatial datasets.
• Mentor junior developers by conducting code reviews and promoting best practices in software engineering, testing, and documentation.

Required Skillset:

• Demonstrated expertise in full-stack development using modern frameworks, with a strong ability to build responsive and scalable web applications.
• Proficient in working with GIS technologies and spatial databases, including the ability to manipulate and visualize complex geographic datasets.
• Hands-on experience in integrating AI and machine learning workflows into production-grade software applications.
• Strong command of DevOps practices, including containerization, orchestration, and cloud infrastructure management to ensure seamless deployment cycles.
• Excellent communication skills with the ability to articulate technical concepts to non-technical stakeholders and lead collaborative team efforts.
• Proven ability to operate effectively in a fast-paced, hybrid work environment based in Bangalore, balancing independent problem-solving with team-oriented project delivery.
• Minimum of 6 to 7 years of professional experience in software engineering, with a track record of delivering complex techologies

Contract Job Position - AI Architect / AI Tech Lead

Contract Term - Max 3 -6 Months

Looking For immediate joiners Only

Remote Opportunity

Hands on expereince in AI

Must have experinence in Python

Expereince in LangGraph / Azure AI / Azure Foundry exposure

Must have Ability to provide technical leadership and solution direction

We are seeking a high-caliber Senior Full-Stack Engineer to lead the design, development, and deployment of our next-generation intelligent applications. In this role, you will bridge the gap between robust full-stack architecture and smart artificial intelligence integrations. You will be responsible for building scalable Node.js microservices, crafting intuitive React interfaces, and embedding AI capabilities (such as LLM APIs, autonomous agents, and smart workflows) to solve complex user problems.

As a senior member of the team, you will champion technical excellence, mentor junior developers, and influence our product roadmap.

Key Responsibilities:

AI Integration & Engineering

• Architect and implement backend systems that interface with Large Language Models (LLMs) and other AI services via APIs (e.g., OpenAI, Anthropic, or custom internal model endpoints).
• Build middleware to handle prompt engineering, context orchestration, and structural parsing of AI responses into application logic.
• Implement guardrails, caching layers, rate-limiting, and evaluation metrics for AI model outputs to ensure reliability, security, and cost-efficiency.
• Stay up-to-date with emerging generative AI patterns, model capabilities, and integration techniques to drive product innovation.

Full-Stack Development

• Backend: Build, scale, and maintain highly performant, secure, and production-ready RESTful APIs and GraphQL services using Node.js (TypeScript / Express).
• Frontend: Develop responsive, state-managed, and visually seamless user interfaces using React.js and modern state management libraries (e.g., Redux Toolkit, Zustand, React Query).
• Optimize application performance across the stack—from database query optimization to frontend rendering bottlenecks.

Architecture & Leadership

• Lead architectural decisions, promoting modular design, code reusability, and scalable system infrastructure.
• Enforce high engineering standards through rigorous code reviews, automated testing (unit, integration, E2E), and comprehensive documentation.
• Mentor and coach junior and mid-level engineers, fostering a culture of continuous learning and technical growth.
• Work closely with Product Managers, UX Designers, and stakeholders to translate ambitious product visions into concrete technical execution.
• 
  

Technical Skills & Qualifications

Required Experience

• Experience: 5+ years of professional software development experience, with a proven track record of shipping production-grade SaaS applications.
• Node.js Ecosystem: Deep expertise in backend development using Node.js and TypeScript, including asynchronous programming, event-driven architecture, and microservices.
• React Ecosystem: Advanced proficiency in React, hooks, state management, and modern build tools (Vite, Webpack).
• AI Practice: 1–2+ years of practical experience integrating LLM APIs and cognitive workflows into customer-facing applications.
• Databases: Strong proficiency with relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB).
• Cloud & DevOps: Familiarity with cloud platforms (AWS, GCP, or Azure), Docker, and CI/CD pipelines.

Soft Skills

• Exceptional problem-solving skills and a proactive "ownership" mindset.
• Strong communication skills, with the ability to explain complex technical or AI concepts to non-technical stakeholders.
• Proven ability to thrive in a fast-paced, iterative environment.

Job Location: Gurgaon/Noida

Current Work Mode: Hybrid

Work Timings: AEST Timings

About the Role

We are looking for high-calibre Frontend Engineers with strong expertise in React or Angular to join a fast-paced branding and product experience initiative. This role will focus on delivering a premium UI/UX transformation, including a dashboard uplift, within a tight timeline.

This is a hands-on role suited for engineers who thrive in high-impact, fast-execution environments and can take ownership from concept to delivery.

Key Responsibilities

• Build and enhance modern, scalable front-end applications using React or Angular
• Drive the branding implementation across web interfaces and dashboards
• Collaborate closely with design, product, and backend teams
• Contribute to dashboard improvements, performance optimization, and usability enhancements
• Integrate front-end components with backend services (including .NET-based APIs)
• Leverage AI tools (e.g., Claude, ChatGPT, GitHub Copilot) to improve productivity, code quality, and development speed
• Ensure high standards of code quality, responsiveness, and cross-browser compatibility

Required Skills & Experience

• Strong hands-on experience with React.js or Angular (either is mandatory)
• Solid understanding of HTML, CSS, JavaScript/TypeScript
• Experience building data-driven dashboards and UI-heavy applications
• Working knowledge of .NET / C# backend integration
• Familiarity with or openness to using AI-assisted development tools (e.g., Claude, Copilot, ChatGPT)
• Strong eye for design, layout, and user experience
• Ability to work in fast-paced, deadline-driven environments

Nice to Have

• Experience with design systems or branding projects
• Exposure to performance optimization and front-end architecture
• Experience working in agile/sprint-based delivery models

What We’re Looking For

• Engineers who take ownership and move fast
• Strong problem-solvers with attention to detail
• Comfortable leveraging modern tools, including AI, to accelerate delivery
• Clear communicators who can collaborate across teams
• Comfortable working under tight timelines with high expectations

Why Join

• Opportunity to work on a high-visibility branding initiative
• Fast-paced environment with real impact
• Collaborative and outcome-driven team

A BIT ABOUT US

Appknox is a leading AI-native mobile application security platform trusted by enterprises around the world. Recognized by Gartner and G2, Appknox helps organizations secure mobile applications throughout their lifecycle through automated security testing, continuous monitoring, and actionable intelligence.

Headquartered in Singapore with engineering based in Bengaluru, Appknox serves customers across North America, the Middle East, Southeast Asia, Japan, and India. Our customers include Fortune 500 companies, governments, financial institutions, and digital-first enterprises that rely on Appknox to secure their mobile ecosystem.

We are a profitable, fast-growing B2B SaaS company with a highly collaborative culture and ambitious plans to shape the future of application security in the AI era.

The Opportunity

As Appknox evolves from a mobile application security platform into an AI-native application security company, we are looking for a Senior Product Marketing Manager to lead positioning, go-to-market execution, sales enablement, competitive intelligence, and customer insights across our product portfolio.

This role sits at the intersection of Product, Sales, Customer Success, and Marketing and plays a critical role in defining how Appknox is perceived by customers and the market.

You will own the narratives behind our products, influence category creation, help shape launches, and become the voice of the market inside Appknox.

This role is designed for someone who aspires to build and lead a world-class product marketing function over time, with a clear growth path toward Director of Product Marketing.

Products/Capabilities You Will Support

• Appknox Platform
• Storeknox
• KnoxIQ
• Future AI-driven products and capabilities

Key Responsibilities

Positioning and Messaging

• Own positioning and messaging across the Appknox product portfolio.
• Translate technical capabilities into compelling value propositions for security, engineering, and executive buyers.
• Continuously refine messaging based on customer feedback and market dynamics.

Product Launches and Go-To-Market

• Lead cross-functional go-to-market initiatives and product launches.
• Coordinate with Product, Sales, Customer Success, and Marketing teams to drive successful adoption.
• Develop launch plans, messaging frameworks, enablement assets, and campaign support.

Sales Enablement

• Build and maintain battle cards, pitch decks, competitive comparisons, use cases, and customer stories.
• Partner closely with sales teams to improve messaging consistency and win rates.
• Conduct enablement sessions for internal teams and support strategic deals when required.

Customer and Market Insights

• Engage directly with customers and prospects to understand pain points and validate messaging.
• Conduct customer interviews, gather feedback, and identify emerging use cases.
• Develop case studies, proof points, and customer success narratives.

Competitive Intelligence

• Monitor competitors and emerging trends across cybersecurity, AI, DevSecOps, and software development.
• Develop and maintain competitive positioning and battle cards.
• Identify market opportunities and strategic gaps.

Category and Thought Leadership

• Help establish Appknox's leadership in AI-native application security.
• Contribute to thought leadership themes around AI, mobile security, software supply chain risks, and emerging AppSec trends.
• Support industry events, analyst interactions, and strategic communications.

Team Leadership

• Mentor and guide content and product marketing resources.
• Help establish repeatable product marketing processes and frameworks.
• Contribute to building a scalable product marketing function.

AI and Modern Marketing

• Leverage AI tools and modern workflows to accelerate research, content development, competitive intelligence, and campaign analysis.
• Understand how buyers increasingly discover and evaluate vendors through AI-assisted channels and ensure Appknox maintains strong visibility and credibility.

What We are Looking For

Required Experience

• 5-8 years of experience in Product Marketing, Solutions Marketing, Technical Marketing, or related GTM roles within B2B SaaS.
• Strong experience in positioning, messaging, product launches, and sales enablement.
• Exceptional written and verbal communication skills.
• Experience collaborating with Product, Sales, Customer Success, and Marketing teams.
• Hands-on experience using AI tools such as ChatGPT, Claude, Gemini, or Perplexity to improve productivity and workflows.
• Strong project management and stakeholder management skills.
• Familiarity with marketing automation and analytics platforms such as HubSpot.

Strongly Preferred

• Experience in Cybersecurity, DevSecOps, developer tools, cloud security, AI infrastructure, or other technical SaaS categories.
• Familiarity with application security or modern software development practices.
• Experience supporting enterprise sales motions and technical buyers.
• Experience building competitive intelligence programs.

Work Expectations

First 90 Days

• Build a deep understanding of products, customers, and competitors.
• Refresh core messaging and sales enablement assets.
• Establish strong relationships across Product, Sales, and Customer Success teams.

Within 6 Months

• Lead major launches and go-to-market initiatives.
• Establish repeatable competitive intelligence and customer insight processes.
• Improve sales enablement and messaging consistency.

Within 12 Months

• Become the voice of the market inside Appknox.
• Influence product strategy and category narrative.
• Mentor content marketing resources and help scale the product marketing function.
• Play a key role in establishing Appknox as a leader in AI-native application security.

Personality traits we admire:-

• Strategic thinker with strong execution skills.
• Curious, commercially minded, and customer obsessed.
• Comfortable with ambiguity and fast-moving environments.
• Strong collaborator who can influence cross-functional teams.
• Excited by AI and emerging technologies.
• Eager to build and grow with the company over the long term.

Interview Process

Round 1: Hiring Manager

Round 2: Functional Case Study

Round 3: Product + Sales Panel

Round 4: CEO Discussion

Round 5: HR & Compensation

Compensation and Benefits

• Competitive compensation and ESOP opportunities.
• Flexible work environment.
• Comprehensive health insurance for employees and their families.
• Opportunity to work with global customers and cutting-edge AI and cybersecurity technologies.

Why Join Appknox?

Ownership and Impact

Shape how a global cybersecurity company is positioned in the market and influence strategic decisions across the business.

Growth Opportunity

This role offers a clear path toward building and leading the product marketing function as Appknox scales.

High Visibility

Work closely with company leadership and collaborate across Product, Engineering, Sales, and Customer Success.

Continuous Learning

We believe in experimentation, curiosity, and helping people grow beyond their current role.

About Us

We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable. 

Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.  

We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bringing their ideas to life. 

Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk. 

Our Guiding Principles 

These principles define how we work at Incubyte. They are non-negotiable. 

Relentless Pursuit of Quality with Pragmatism 

  We build high-quality systems without losing sight of delivery. 

Extreme Ownership 

  We take responsibility end-to-end for decisions, execution, and outcomes. 

Proactive Collaboration 

  We collaborate closely, challenge each other, and solve problems together. 

Active Pursuit of Mastery 

  We continuously improve our craft and raise our bar. 

Invite, Give, and Act on Feedback 

We seek, give, and act on feedback to get better every day. 

Ensuring Client Success 

We act as trusted partners and focus on real outcomes, not just output. 

Job Description

This is a remote position.

Our Core Value

• Client Success: Our clients’ success is our success
• Extreme Ownership: We own our work and its outcomes fully
• Proactive Collaboration: Teamwork elevates us all 
• Quality with Pragmatism: We aim for excellence with a focus on practical solutions
• Effective Feedback: Honest, constructive feedback fosters improvement
• Proactive Collaboration: Teamwork elevates us all

Experience Level

​We're looking for a seasoned Product Manager with at least 4 years of experience building user-centric products. You should be a "product craftsperson" who can demonstrate a history of driving tangible, impactful results

Role Overview 

As a Product Manager, you will be responsible for the entire product lifecycle, from initial concept to launch and beyond. You'll act as the central hub, working with stakeholders and clients to define product roadmaps and success metrics.

A key part of your role will be to deeply understand customer and business needs and translate them into clear, actionable requirements for the development team. You will own the product backlog, analyze performance data to identify opportunities, and partner closely with design and engineering to ensure successful execution

Key Responsibilities

• Product Strategy & Execution: You will define and document product requirements, create and maintain a prioritized backlog, and ensure business needs are met throughout the design, development, and delivery phases.
• Data-Driven Decision Making: You will use your strong analytical and problem-solving skills to gather, analyze, and interpret data to prove or disprove hypotheses and guide product evolution. Expertise in Excel and SQL is essential for this.
• Stakeholder & Client Management: You will communicate with internal and external teams, including clients, to manage expectations, present product status, and gather feedback. Strong consultative, listening, and presentation skills are crucial.
• Cross-Functional Collaboration: You will coordinate with various teams—including design, engineering, sales, and support—to build, manage, and evolve the product. A solid understanding of software engineering concepts will help you drive product strategy effectively

Requirements

What We're Looking For

• Product Mindset: You'll be a central figure, coordinating with various teams to build and support the product
• Agile Experience: You must have experience working within Agile and Extreme Programming methodologies in a continuous deployment environment
• Technical Acumen: You should have a solid understanding of software engineering concepts to help drive product strategy
• Exceptional Communication: You should have strong consultative, listening, and presentation skills to effectively communicate with clients and stakeholders
• Analytical and Problem-Solving Skills: We need someone with a strong ability to understand complex business environments and to dive into data using Excel and SQL to derive meaningful insights.
• Attention to Detail: You will need to create clear and precise product documentation and assist in the sales and pre-sales process

Benefits

What We Offer 

• Dedicated Learning & Development Budget: Fuel your growth with a budget dedicated solely to learning.  
• Conference Talks Sponsorship: Amplify your voice! If you’re speaking at a conference, we’ll fully sponsor and support your talk. 
• Cutting-Edge Projects: Work on exciting projects with the latest AI technologies   
• Employee-Friendly Leave Policy: Recharge with ample leave options designed for a healthy work-life balance. 
• Comprehensive Medical & Term Insurance: Full coverage for you and your family’s peace of mind. 
• And More: Extra perks to support your well-being and professional growth. 

Work Environment 

• Remote-First Culture: At Incubyte, we thrive on a culture of structured flexibility — while you have control over where and how you work, everyone commits to a consistent rhythm that supports their team during core working hours for smooth collaboration and timely project delivery. By striking the perfect balance between freedom and responsibility, we enable ourselves to deliver high-quality standards that our customers recognize us by. With asynchronous tools and a push for active participation, we foster a vibrant, hands-on environment where each team member’s engagement and contributions drive impactful results. 
• Work-In-Person: Twice a year, we come together for two-week sprints to collaborate in person, foster stronger team bonds, and align on goals. Additionally, we host an annual retreat to recharge and connect as a team. All travel expenses are covered. 
• Proactive Collaboration: Collaboration is central to our work. Through daily pair programming sessions, we focus on mentorship, continuous learning, and shared problem-solving. This hands-on approach keeps us innovative and aligned as a team. 

Incubyte is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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)

🚀 Hiring | AI Video Producer | Full-Time | 📍 Bengaluru

About the company:

RPlus Analytics is a UK-based company established in 2012, headquartered in Preston, UK, with an office in Bengaluru. We are into Data Analytics and Artificial Intelligence and are expanding into AI-powered content and media production.

Role Responsibilities

• Manage end-to-end AI video production workflows

• Coordinate editors, designers, and AI creators to ensure timely delivery

• Review video output and maintain quality standards

• Build and optimize AI video production processes

• Convert briefs, scripts, and ideas into clear execution plans

• Manage project timelines, priorities, and deliverables

• Ensure consistency in storytelling, pacing, and visual quality

• Create and edit videos when required

Requirements

• Strong understanding of AI-powered video production workflows

• Hands-on experience with ChatGPT, Claude, Gemini, ElevenLabs, HeyGen, Nano Banana, and Google Flow

• Proficient in Adobe Premiere Pro and After Effects

• Experience managing creative projects or teams

• Strong prompting, communication, and project management skills

• Good understanding of storytelling, content strategy, and creative execution

• Proactive, organized, and execution-focused

📍 Only Bengaluru-based candidates or candidates willing to relocate may apply.

Experience Required: 3-8 Years

No. of vacancies: 2

Job Type: Full Time

Vacancy Role: WFO

Job Category: Development

Job Description

We are looking for a Senior Python Developer to build and scale a production-grade AI-powered platform focused on image understanding, scene reconstruction, and automated media generation. This is a backend-heavy role requiring strong expertise in system design, asynchronous processing, and scalable API development. You will work closely with AI/ML, frontend, and DevOps teams to deliver high-performance systems that power object detection, segmentation, and 3D reconstruction pipelines.

Roles & Responsibilities

• Design and develop scalable backend services and APIs using FastAPI
• Build modular, maintainable systems with clear service contracts and abstractions
• Implement asynchronous processing pipelines for compute-heavy AI workloads
• Design and manage job queues (Celery, RQ, or similar) and integrate Redis
• Handle long-running and GPU-based tasks
• Work with PostgreSQL and integrate object storage (S3 or equivalent)
• Integrate and productionize ML models
• Optimize inference pipelines for latency, batching, and throughput
• Ensure system reliability with retries, fallbacks, and monitoring
• Collaborate with Data Science, Frontend, and DevOps team

Qualifications

• 3+ years of Python development experience
• Hands-on experience with FastAPI and REST APIs
• Strong understanding of async programming and scalable systems
• Experience with Redis and queue systems (Celery, RQ, Kafka)
• Strong PostgreSQL experience
• Experience with Docker (mandatory); Kubernetes is a plus
• Familiarity with AWS, GCP, or Azure
• Exposure to AI/ML pipelines (YOLO, DETR, SAM, etc.)
• Experience deploying ML models in production
• Understanding of GPU workloads and optimization
• Background in image/video processing or real-time systems
• Strong problem-solving and system design mindset
• Ability to handle real-world scale and unstructured data
• Experience in AI-integrated backend system

ey Responsibilities

✅ Architect, develop, and deploy AI-powered enterprise applications and intelligent automation solutions.

✅ Translate business requirements into scalable, secure, and production-ready AI systems.

✅ Build and integrate AI/ML capabilities into enterprise platforms and digital products.

✅ Design cloud-native applications leveraging AWS, Azure, or Google Cloud Platform (GCP).

✅ Develop APIs, microservices, distributed systems, and modern integration frameworks.

✅ Implement DevOps best practices, CI/CD automation, and engineering lifecycle processes.

✅ Utilize AI-assisted development tools to improve productivity and accelerate delivery.

✅ Ensure compliance with security standards, governance frameworks, and data privacy requirements.

✅ Collaborate with cross-functional teams, product stakeholders, and business leaders to deliver innovative solutions.

Required Skills

🔹 5+ years of experience in Software Engineering, Solution Architecture, or Enterprise Application Development.

🔹 Strong programming expertise in *Python, Java, TypeScript, or Go*.

🔹 Hands-on experience integrating AI/ML solutions into enterprise applications.

🔹 Experience with cloud platforms such as *AWS, Azure, or GCP*.

🔹 Strong understanding of *APIs, Microservices, Distributed Systems, and Containerization*.

🔹 Experience with *Agile methodologies, DevOps practices, and CI/CD pipelines*.

🔹 Knowledge of secure software development and enterprise governance standards.

🔹 Excellent problem-solving, communication, and stakeholder management skills.

Good to Have

⭐ Experience with *Machine Learning, Generative AI, Intelligent Automation, or LLM-based solutions*.

⭐ Knowledge of *MLOps, Prompt Engineering, Model Monitoring, AI Validation, and LLM Integration*.

⭐ Experience in *Banking, FinTech, Payments, or other regulated industries*.

⭐ Advanced degree in Computer Science, Artificial Intelligence, Engineering, or related fields.

⭐ Certifications such as *AWS/Azure/GCP Solutions Architect, TOGAF, CKA, or Lean Six Sigma*.

⭐ Experience leading engineering modernization, transformation, or automation initiatives.

⭐ Contributions to open-source projects and a passion for emerging technologies.

Senior AI Engineer — .NET / C# 📍 Coimbatore / Chennai · Hybrid | 6+ Years | Immediate – 15 Days Notice

About Techjays

We build production-grade AI systems for enterprise clients across the US, UK, and Australia. As an Anthropic partner, we work at the frontier of AI — not experiments, but real systems that ship and scale. Our team includes engineers from Google, Akamai, NetApp, and Capgemini.

What You'll Do

• Build and ship .NET applications for enterprise clients — from design to deployment
• Integrate LLM APIs (Claude, OpenAI, Azure OpenAI) into production .NET services
• Use Claude Code daily for coding, debugging, and code reviews
• Build React UIs from wireframes to production
• Own SQL Server architecture, optimisation, and EF migrations
• Lead code reviews and mentor the team
• Work with PMs and Delivery Managers to hit sprint goals

What We're Looking For

• 6+ years in .NET — C#, ASP.NET Core, Entity Framework
• Hands-on with Claude Code or similar AI coding tools
• Strong Azure — App Services, Functions, Service Bus, Cosmos DB, DevOps
• Solid React — hooks, state management, component architecture
• Expert SQL Server skills
• Experience with RESTful and GraphQL APIs at scale
• Good grasp of Clean Architecture, DDD, CQRS, microservices

Bonus: Python, Docker, vector databases, Semantic Kernel, SignalR, GCP/AWS

Why Join

• Greenfield projects — you design the architecture
• Anthropic partner — early access to frontier AI tools
• Global client exposure with real business impact
• Team of engineers who've built at scale

Job description:

Interview Venue: H-28, ARV Park, Sector 63, Noida, Uttar Pradesh 201301

Job location: Noida

Experience: 1-2 years

Education: B.Tech or MCA

The procedure for the interview will be as follows:

• 1st Round - Machine Round
• 2nd Round- Communication Round
• 3rd Round – Assignment Round
• 4th Round - HR Round

Job Description:

• Profile: AI/ML Engineer
• Experience: 1-2 yrs
• Qualification : B.Tech/MCA
• Working Days: 5
• Job Nature: Permanent

Roles And Responsibilities:

1) Python Proficiency and API Integration:

Demonstrate strong proficiency in Python programming language.

Design and implement scalable, efficient, and maintainable code for machine learning applications.

Integrate machine learning models with APIs to facilitate seamless communication between different software components.

2) Machine Learning Model Deployment, Training, and Performance:

Develop and deploy machine learning models for real-world applications.

Conduct model training, optimization, and performance evaluation.

Collaborate with cross-functional teams to ensure the successful integration of machine learning solutions into production systems.

3) Large Language Model Understanding and Integration:

Possess a deep understanding of large language models (LLMs) and their applications.

Integrate LLMs into existing systems and workflows to enhance natural language processing capabilities.

Stay abreast of the latest advancements in large language models and contribute insights to the team.

4) Langchain and RAG-Based Systems (e.g., LLamaindex):

Familiarity with Langchain and RAG-based systems, such as LLamaindex, will be a significant advantage.

Work on the design and implementation of systems that leverage Langchain and RAG-based approaches for enhanced performance and functionality.

5) LLM Integration with Vector Databases (e.g., Pinecone):

Experience in integrating large language models with vector databases, such as Pinecone, for efficient storage and retrieval of information.

Optimize the integration of LLMs with vector databases to ensure high-performance and low-latency interactions.

6) Natural Language Processing (NLP):

Expertise in NLP techniques such as tokenization, named entity recognition, sentiment analysis, and language translation.

Experience with NLP libraries and frameworks like NLTK, SpaCy, Hugging Face Transformers

7) Computer Vision:

Proficiency in computer vision tasks such as image classification, object detection, segmentation, and image generation.

Experience with computer vision libraries like OpenCV, PIL, and frameworks like TensorFlow, PyTorch, and Keras.

8) Deep Learning:

Strong understanding of deep learning concepts and architectures, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs).

Proficiency in using deep learning frameworks like TensorFlow, PyTorch, and Keras.

Experience with model optimization, hyperparameter tuning, and transfer learning.

9) Data Manipulation:

Strong skills in data manipulation and analysis using libraries like Pandas, NumPy, and SciPy.

Proficiency in data cleaning, preprocessing, and augmentation techniques.

Perks&Benefits:

• Employees & Family Health Insurance, EPF & ESIC.
• Free late-night meal facility.
• Innumerable in house & outdoor party.
• Various compensations & bonuses.
• No dress Code.
• Festival Celebration.
• Employees' B'day celebration.

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.

Role Overview

MyOperator's platform handles billions of real-time interactions - cloud call centers, IVR flows, WhatsApp APIs, AI voicebots, and a unified communication suite. As Manager QA, you will own quality across this entire product surface: from defining the QA strategy and automation architecture to taking accountability for production escapes and release confidence.

This is not a sign-off role. You define what "good" looks like, build the systems to enforce it, and lead a team that treats quality as a product outcome, not a checkpoint. You will work directly with Engineering, Product, and DevOps to embed quality at every stage of the development lifecycle. If you've scaled automation frameworks, reduced defect escape rates measurably, and built QA cultures where the team doesn't wait to be told what to test, this role is built around you.

Key Responsibility Areas

• Own and enforce the quality bar across MyOperator's full product suite - Cloud Call Center, IVR & Call Flows, WhatsApp API, AI Voicebots, and Unified Communication Platform from sprint planning through production.
• Architect and scale automation frameworks across UI (Web/Mobile), REST and GraphQL APIs, and end-to-end integration flows; integrate these into CI/CD pipelines for continuous testing.
• Define, track, and improve quality metrics including defect escape rate, automation coverage percentage, test cycle time, flakiness rate, and Mean Time to Detect (MTTD).
• Lead performance and load testing strategies using JMeter, k6, or Locust to validate system behavior under production-scale traffic conditions.
• Drive Root Cause Analysis (RCA) for production incidents and implement systemic fixes to prevent recurrence, not just mitigation.
• Lead, mentor, and scale the QA team; set clear performance expectations, run regular calibrations, and build an ownership-driven, bias-for-action team culture.
• Establish and maintain release entry/exit criteria, test environment parity with production, and structured test data management processes.

Requirements - Must Have

• 5-8 years in QA with at least 2 years in a lead or ownership role managing a team of 3 or more.
• Prior experience with technologies like Telephony, VOIP, WebRTC, Voice Bots, Sockets, and WebSockets is a must-have.
• Hands-on experience in testing and quality assurance of applications/products involving UDP (User Datagram Protocol) communication, including validation of reliability, performance, and network-level troubleshooting.
• Hands-on expertise with one or more automation frameworks: Selenium, Cypress, Playwright, or Appium with a demonstrated ability to build or significantly scale a framework from the ground up.
• Proficiency in Python, Java, or JavaScript for writing and maintaining automation code.
• At least 2+ years of strong hands-on experience in API testing using Postman or RestAssured, and CI/CD integration using Jenkins, GitHub Actions, or GitLab CI.
• Documented track record on the resume (via explicitly stated metrics) demonstrating a quantifiable reduction in defect escape rates or improvement in automation coverage.
• Experience with performance/load testing tools (JMeter, k6, or Locust) in a real production context.

Requirements - Good to Have

• Prior experience at a SaaS, CPaaS, or Cloud Telephony company; understanding of SIP or IVR.
• Exposure to AWS, GCP, or Azure in the context of test environment management or deployment pipelines.
• Experience testing microservices and event-driven systems, including webhooks, async flows, and message queues.
• Familiarity with contract testing (Pact) or AI/ML-specific testing - chatbots, voicebots, NLP output validation.
• Knowledge of basic security testing principles, OWASP top 10, or chaos/resilience testing.

This profile is not for

• Someone whose primary mode (as inferred from past role descriptions) is purely reviewing test cases and delegating execution rather than building and owning the automation stack themselves.
• Someone who treats QA sign-off as the finish line—this role is accountable for customer experience, not just green test runs.
• Candidates lacking demonstrable, hands-on evidence of building automation frameworks in their profile; this role cannot be fulfilled by purely manual QA or strictly managerial profiles

About CNH

Connect and Heal (CNH) is a healthcare organization focused on transforming healthcare delivery through technology-enabled solutions, clinical excellence, and exceptional patient experiences. We build scalable digital platforms that support healthcare operations, patient engagement, telehealth, and enterprise healthcare services.

Role Summary

We are seeking a highly motivated Engineering Lead to drive the design, development, and delivery of scalable technology solutions that support CNH's business growth and healthcare operations. The role requires a strong blend of technical expertise, people leadership, architecture oversight, and execution excellence.

The Engineering Lead will lead engineering teams, collaborate with Product, Operations, Clinical, and Business stakeholders, and ensure delivery of high-quality, secure, and scalable products.

Key Responsibilities

Technical Leadership

• Lead the design, development, and deployment of scalable applications and platforms.
• Drive engineering best practices, coding standards, architecture reviews, and technical governance.
• Ensure system reliability, performance, security, and scalability.
• Evaluate and implement emerging technologies to improve product capabilities and engineering efficiency.

Team Leadership

• Build, mentor, and manage high-performing engineering teams.
• Conduct performance reviews, coaching, and career development discussions.
• Foster a culture of accountability, innovation, collaboration, and continuous learning.
• Support hiring and talent development initiatives.

Product & Delivery Management

• Partner with Product Managers and business stakeholders to translate business requirements into technical solutions.
• Drive sprint planning, prioritization, estimation, and delivery management.
• Ensure timely and high-quality execution of engineering roadmaps.
• Manage risks, dependencies, and technical debt effectively.

Stakeholder Management

• Collaborate with Operations, Clinical, Customer Success, and Business teams.
• Communicate project progress, risks, and outcomes to leadership.
• Support strategic initiatives through technology-driven solutions.

Quality & Compliance

• Ensure adherence to information security, data privacy, and healthcare compliance requirements.
• Establish monitoring, testing, and release management processes.
• Drive automation, observability, and operational excellence.

Qualifications

• Bachelor's or Master's degree in Engineering, Computer Science, or related field.
• 8–12+ years of software engineering experience.
• 3–5+ years of experience leading engineering teams.
• Experience building and scaling enterprise-grade applications.

Technical Skills & Expertise

• Strong proficiency in modern programming languages such as Java, Python, Node.js, Golang, or .NET.
• Hands-on experience in designing and managing RESTful APIs, API Gateways, and Microservices Architecture.
• Strong knowledge of CI/CD Automation using tools such as Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, or similar platforms.
• Experience in DevOps practices, including Infrastructure as Code (IaC), containerization (Docker), orchestration (Kubernetes), and cloud-native deployments.
• Expertise in cloud platforms such as AWS, Azure, or GCP.
• Experience implementing monitoring, logging, and observability solutions.
• Familiarity with modern databases, distributed systems, and high-availability architectures.
• Exposure to AI/ML tools, Generative AI solutions, LLMs, AI-assisted development tools (GitHub Copilot, Cursor, ChatGPT, etc.), and their integration into enterprise applications.
• Understanding of healthcare interoperability standards, APIs, and data security principles is desirable.

Additional Responsibilities

• Drive adoption of AI-powered engineering practices to improve developer productivity, code quality, and operational efficiency.
• Establish and maintain robust CI/CD pipelines to enable faster and more reliable software releases.
• Lead DevOps transformation initiatives, promoting automation, infrastructure scalability, and engineering excellence.
• Define and govern enterprise-wide API strategy, standards, security, and lifecycle management.
• Evaluate emerging technologies and AI innovations to support CNH's digital healthcare roadmap.

Preferred Candidate Profile

• 10–15 years of experience in software engineering, with 4–6 years in engineering leadership roles.
• Proven experience leading teams building cloud-native, API-first, AI-enabled platforms.
• Strong background in DevOps, CI/CD automation, platform engineering, and digital transformation initiatives.
• Experience managing engineering teams delivering mission-critical products at scale.

CNH offers an opportunity to build impactful healthcare technology solutions that improve access, quality, and patient outcomes while working with a passionate and mission-driven team.

Strong in AI expereince is Mandatory

10+ years of experience in successfully building, deploying, and running complex, large-scale web or data products

● Experience in working with REST APIs, Machine Learning, Algorithms & AWS. 

● Full-stack Authority: Deep expertise with Javascript, Node.js, MySQL, and Python. You must have world-class expertise in at least one area but possess a solid understanding of the entire stack in a multi-tier environment. 

● Architectural Track Record: Has built at least two professional-grade products as the tech owner/architect and led the delivery of complex products from conception to release. 

● Program Management Skills: Ability to estimate complex projects accurately, manage stakeholder expectations, and hold the team accountable to deadlines. 

● Creative Engineering: A creative mind with an uncanny sense of design thinking and principles. 

● Values: Most importantly, the kind of values you have as a person. 

● Familiar with visualization libraries and database technologies.

 ● Your reputation in the technology community within your domain. 

● Your participation and success in competitive programming. 

Bachelor’s or Master’s degree in Computer Science or IT (B.E / B.Tech / M.Tech / M.S) from premier institutes..

Exp - 6-8.5 Yrs

Level - Assistant Manager

Skill - AI ML/Gen AI Engineer

Location - Hyderabad/ Bangalore / Gurgaon

Key Skills - GitHub Copilot and Gemini; AI/ML and Generative AI (GenAI); LLMs and GenAI agents/assistants (e.g., LangChain); cloud integration; and Python/R workflows

Key Qualifications:

§ A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor.

§ Strong software engineering foundation with deep understanding of OOPs, data-structure, algorithms, code instrumentations, beautiful coding practices etc.

§ 5+ years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc.

§ Proven experience in: Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc.

§ Proven experience with big data technologies, Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL.

§ Proven experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP.

§ Strong understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc.

§ Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.

About the role:

Unico Connect is an Al-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies. We are hiring a Senior Al Engineer for a dedicated client engagement focused on building an Al-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 LLMpowered 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 singleagent vs. multi-agent designs, including planner/executor splits and dedicated buildrepair 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 qualitydegrading changes from shipping. Treat evals the way engineers treat automated testing: versioned, automated, and tracked over time. This responsibility is nonnegotiable 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 Al work, and raise the engineering bar across the Al 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 Al system - agentic, multi-step, or code generation - with end-to-end ownership of architecture, evaluation, and cost. POCs, internal demos, and tutorialgrade work do not qualify.

5+ years of professional software or Al engineering experience, with at least 3 years focused on LLM applications, Al engineering, or production Al 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 OpenAl, Anthropic Claude, Google Gemini, or open-weight models (vLLM, Ollama, Together). Production experience with at least one agent framework (LangGraph, CrewAI, AutoGen, Llamalndex 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 Al. Track record of measurable cost optimisation on production Al 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 Al 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 Al contributions; published technical writing on LLM systems; multi-modal model experience; fine-tuning exposure (LORA, QLORA, PEFT).

About GeniWay

GeniWay Technologies is building AI-powered products that help students learn effectively and make confident education and career decisions.

Our first product, Clario, combines multidimensional student assessment, career intelligence, personalized guidance, and AI-assisted counselling for Indian students and families.

With Clario’s initial platform nearing completion, our next major ambition is to build an AI-powered personalized learning platform that adapts learning experiences to each student’s knowledge, goals, learning patterns, motivation, and progress.

We are looking for an AI-native engineering leader to help turn this ambition into a trusted, scalable product.

The Opportunity

We are hiring a Founding AI Engineering Lead, CTO Track to become GeniWay’s full-time technical operating leader.

Your primary mandate will be to lead the engineering of our AI-powered personalized learning platform. You will also own the continued evolution, reliability, and scale-readiness of Clario.

This is not a conventional engineering management role or a role limited to integrating third-party AI APIs. It requires someone who can combine:

• deep applied-AI expertise;
• strong product and architectural judgment;
• hands-on full-stack engineering;
• engineering-team leadership; and
• responsible deployment of AI for students.

For an exceptional leader who demonstrates sustained company-level technology leadership, this role offers a credible pathway toward becoming GeniWay’s future CTO.

What You Will Build

The personalized learning platform is expected to progressively support:

• continuously evolving learner profiles;
• personalized learning pathways and interventions;
• adaptive content, practice, and assessments;
• AI tutors, mentors, and learning companions;
• multi-agent workflows for learning support and content operations;
• student progress, mastery, and engagement intelligence;
• evidence-grounded recommendations for students, parents, and educators;
• responsible human oversight, safety, and explainability.

You will help define the architecture, technical strategy, and delivery roadmap required to build these capabilities responsibly.

What You Will Own

AI Product and Platform Engineering

• Own the architecture and engineering of GeniWay’s personalized learning platform.
• Translate learning-product concepts into reliable AI-powered experiences.
• Design and build GenAI, agentic-AI, and ML-enabled workflows.
• Determine when to use LLMs, deterministic logic, retrieval, conventional ML, or human review.
• Build reusable AI-platform capabilities instead of isolated prompt-based features.
• Lead experimentation, evaluation, production deployment, and continuous improvement of AI capabilities.

Applied AI Quality and Safety

• Establish evaluation frameworks for accuracy, relevance, personalization, consistency, latency, and cost.
• Design safeguards against hallucinations, unsafe guidance, bias, prompt injection, and inappropriate student interactions.
• Build observability and feedback loops for AI behaviour in production.
• Ensure student-facing AI systems are explainable, privacy-conscious, age-appropriate, and human-supervised where required.
• Work with product and domain specialists to validate educational usefulness, not merely technical performance.

Product Engineering and Delivery

• Own end-to-end engineering delivery across AI, backend, frontend, data, and infrastructure.
• Lead or personally implement critical product capabilities when required.
• Establish predictable planning, development, testing, release, and incident-management practices.
• Scale and strengthen Clario while building the next product platform.
• Balance speed, product quality, maintainability, scalability, and operating cost.

Architecture and Data Foundations

• Define and evolve the application, AI, data, and cloud architecture.
• Build secure foundations for learner profiles, content intelligence, personalization, and analytics.
• Establish effective data pipelines, model interfaces, APIs, and platform services.
• Make pragmatic build-versus-buy and model-selection decisions.
• Reduce technical debt and material technology risks systematically.

Team and Technology Leadership

• Lead, mentor, and raise the effectiveness of the engineering team.
• Build strong AI and software-engineering practices across the organization.
• Help recruit future AI, data, and product engineers.
• Work closely with the Founder on product strategy, priorities, and technology investments.
• Develop GeniWay’s longer-term technology strategy and engineering organization.

Essential Capabilities

• Strong hands-on experience building and operating AI-powered products in production.
• Deep practical understanding of GenAI application architecture, LLM behaviour, prompting, context engineering, and structured outputs.
• Experience building agentic or multi-step AI workflows with appropriate controls and observability.
• Experience with retrieval-augmented generation, embeddings, semantic search, or knowledge systems.
• Ability to evaluate AI quality systematically rather than relying on subjective demonstrations.
• Strong Python, backend, API, database, and system-design capabilities.
• Ability to lead full-stack product engineering beyond the AI layer.
• Experience leading engineers and owning complex product delivery.
• Strong product judgment and ability to translate ambiguous goals into executable plans.
• High ownership, urgency, reliability, and transparent communication.

Strongly Preferred

• Experience building personalization, recommendation, adaptive-learning, tutoring, or conversational-AI products.
• Practical AI/ML experience involving experimentation, feature engineering, model evaluation, or predictive systems.
• Experience with LLMOps or MLOps, including evaluation, monitoring, versioning, and deployment.
• Experience designing AI guardrails and responsible student-facing systems.
• Experience as a founding engineer, technical lead, or early engineering leader.
• Experience building AI-native products from zero to one.
• Interest in learning science, education, and student outcomes.

What We Are Not Looking For

• A pure people manager who is no longer technically hands-on.
• A research-only AI specialist without strong product-engineering capability.
• Someone whose GenAI experience is limited to basic chatbot or API integrations.
• A generalist engineering leader with little evidence of applied-AI delivery.
• An advisor seeking influence without full-time operating accountability.

What Success Looks Like

First 90 Days

• Take operational ownership of GeniWay’s engineering function.
• Understand and strengthen Clario’s architecture, quality, and scale-readiness.
• Define the technical architecture and phased roadmap for the personalized learning platform.
• Establish AI evaluation, safety, engineering-quality, and release practices.
• Improve team accountability, execution rhythm, and delivery predictability.

First 6-9 Months

• Deliver the first meaningful version of the personalized learning platform.
• Establish reusable foundations for learner modelling, personalization, AI agents, evaluation, and observability.
• Demonstrate measurable educational and product value from AI capabilities.
• Build a dependable engineering and AI delivery organization.
• Demonstrate readiness for broader CTO-level responsibility.

Compensation and Growth

• Fixed compensation: ₹20L–₹25L per annum, based on capability and experience
• Performance-linked variable: Up to 15%–20%, tied to agreed outcomes
• Initial ESOP grant: Approximately 0.75%–1.25%, based on fit and expected ownership
• Leadership equity top-up: Potential additional 0.5%–1% after 12–18 months, based on sustained contribution and evolution toward CTO-level responsibility
• Leadership review: Formal assessment after six months, followed by a broader role and compensation review after 12 months

The CTO pathway is earned through demonstrated technology strategy, AI-product leadership, organizational impact, and company-level ownership.

Selected candidates will complete structured discussions covering applied-AI depth, architecture, hands-on engineering, product judgment, responsible AI, leadership approach, and long-term alignment.

Design Engineer

We are hiring Design Engineers to own the interface layer of our products end to end.

You should be comfortable moving from rough ideas to shipped experiences. Sometimes that means working in Figma. Sometimes it means designing directly in code. We care less about the tool and more about clarity, speed, taste, and judgment.

You will work across SaaS products, AI workflows, and internal platform tooling. Everything the user sees and touches is yours.

We value people who can operate from principles instead of waiting for detailed specifications. We are looking for builders who think deeply about product, user experience, systems, and execution together.

What you will do

• Own features at the interface layer from idea to shipped product
• Design in Figma when it helps, design in code when it is faster
• Build interfaces and interactions that make it to production
• Contribute to and extend our cross-product design system
• Think through edge cases, empty states, onboarding flows, motion, responsiveness, and usability
• Work closely with engineers to ensure interactions feel intentional and performant
• Improve product quality through iteration, not just mockups

What you need

Experience

• 3-5 years building user-facing software across design, frontend, or product-oriented roles. Strong portfolios matter more than years.
• A portfolio with shipped work you can walk us through. Live products matter more than polished mockups.
• Experience working inside product companies preferred over pure agency environments.

Design

• Strong product and interaction design fundamentals
• Fluent in Figma: components, auto-layout, variants, prototyping, and design systems
• Good taste in typography, layout, spacing, color, and motion
• Ability to simplify complex workflows into intuitive interfaces

Technical capability

• Comfortable working in modern frontend codebases
• Able to prototype and build interfaces directly in code
• Familiar with responsive design, animations, accessibility, and frontend performance basics
• Comfortable reading code, debugging issues, and collaborating closely with engineers

AI-native workflow

• Uses AI tools fluently to explore, prototype, and accelerate implementation
• Treats AI as part of the workflow, not a separate discipline
• We care more about velocity and judgment than which tools you use

Communication

• Clear written and verbal communication
• Able to explain decisions, defend tradeoffs, and change direction when needed
• Comfortable working with ambiguity and shaping ideas collaboratively

What success looks like

• Faster iteration from idea to shipped product
• Less handoff overhead between design and engineering
• Interfaces that feel thoughtful, fast, and polished
• Better product consistency across surfaces
• Ability to move from concept to working prototype in days, not weeks

What we are not looking for

• Designers who only hand off mockups
• People who need every interaction fully specified before they can start building
• Pure visual designers disconnected from product and implementation realities

If “Design Engineer” is a new title to you, but this is already how you work, apply.

Job Description: AI/ML Engineer

Location: Gurgaon, Haryana, India

Position: AI/ML Engineer -Intern

Stipend: As per industry standards

About Aaizel Tech

Aaizel Tech is a pioneering tech startup at the intersection of cybersecurity, AI, geospatial solutions, and more. We drive innovation by delivering transformative technology solutions across industries. As part of our dynamic team, you'll gain hands-on experience and learn from experts who are dedicated to pushing the boundaries of what's possible.

Key Responsibilities:

1. Model Development and Optimization:

• Design, implement, and deploy ML models for diverse applications, including predictive analytics, anomaly detection, and computer vision, tailored for cybersecurity, climate monitoring, and geospatial data analysis.
• Utilize deep learning (CNNs, RNNs), reinforcement learning, and generative models (GANs) for complex problem-solving.

1. Advanced Data Engineering:

• Develop ETL pipelines and preprocessing scripts using Pandas, Numpy, and PySpark to handle large datasets from satellite imagery, IoT sensors, and real-time data sources.
• Integrate data from APIs, databases, and big data platforms (Hadoop, Apache Kafka) to support real-time analytics.

1. Algorithm Research and Development:

• Research state-of-the-art ML techniques, including Transfer Learning, Transformer models, and AutoML, to enhance model performance.
• Innovate new algorithms for geospatial analysis, such as object detection on aerial imagery, spatial clustering, and environmental modeling.

1. Deployment and MLOps:

• Deploy models using Docker, Kubernetes, and CI/CD pipelines, ensuring robust model lifecycle management.
• Work with cloud platforms (AWS, Azure, GCP) to implement scalable model serving solutions, using technologies like Sage Maker, TensorFlow Serving, and ONNX.

1. Performance Evaluation and Tuning:

• Perform model evaluation using advanced metrics (F1 Score, AUC-ROC, Intersection over Union for spatial data) and optimize for both accuracy and inference speed.
• Implement hyperparameter tuning using Bayesian Optimization, Grid Search, and Neural Architecture Search.

6. Performance Evaluation and Tuning:

• Perform model evaluation using advanced metrics (F1 Score, AUC-ROC, Intersection over Union for spatial data) and optimise for both accuracy and inference speed.
• Implement hyperparameter tuning using Bayesian Optimization, Grid Search, and Neural Architecture Search.

1.      7. Collaboration and Code Quality:

• Collaborate with data engineers, cybersecurity experts, and geospatial analysts to integrate ML solutions into end-to-end products.
• Adhere to coding standards, participate in code reviews, and maintain high-quality codebases using Git, Jira, and Confluence.

     8.Monitoring and Maintenance:

• Develop monitoring dashboards using Grafana, Prometheus, or similar tools to track model performance post-deployment.
• Implement feedback loops for model retraining based on real-time data and evolving application needs.

Required Skills, Qualification and Experience:

Educational Background: Bachelor’s/Master’s in Computer Science, Data Science, Machine Learning, or a related field from preferably top-tier       institutions.

• Technical Proficiency:
• Strong skills in Python, PyTorch, TensorFlow, and Scikit-learn.
• Proficiency in SQL, NoSQL databases (MongoDB, Cassandra), and data warehousing solutions (Redshift, BigQuery).
• Problem-Solving: Analytical mindset with the ability to solve complex problems using data-driven approaches.
• Communication: Capable of translating technical details into actionable insights for diverse stakeholders.
• Adaptability: Ability to thrive in a high-paced, dynamic startup environment with a focus on rapid iteration and delivery.

About the Internship

Nexora Group is looking for passionate and innovative students interested in Artificial Intelligence (AI) and Machine Learning (ML). This internship offers an opportunity to work on real-world AI projects, explore machine learning techniques, and gain hands-on experience with emerging technologies that are transforming industries worldwide.

Interns will collaborate with mentors, work on practical assignments, and develop industry-relevant skills in AI, ML, data-driven decision-making, and intelligent systems.

Key Responsibilities

• Assist in developing and testing Machine Learning models.
• Work on AI-based applications and automation projects.
• Analyze datasets and prepare data for model training.
• Research emerging AI and Machine Learning technologies.
• Evaluate model performance and improve accuracy.
• Create reports and documentation for assigned projects.
• Participate in project discussions, training sessions, and team meetings.
• Support the development of innovative AI-driven solutions.

Required Skills

• Basic knowledge of Python programming.
• Understanding of Artificial Intelligence and Machine Learning concepts.
• Familiarity with data analysis and statistics.
• Knowledge of Machine Learning libraries such as Scikit-learn, TensorFlow, or PyTorch is a plus.
• Strong analytical and problem-solving skills.
• Ability to learn new technologies quickly.
• Good communication and teamwork skills.

Eligibility

• B.Tech, M.Tech, BCA, MCA, B.Sc., M.Sc., or related disciplines.
• Students pursuing Computer Science, Artificial Intelligence, Data Science, Information Technology, Mathematics, or related fields.
• Freshers and recent graduates are encouraged to apply.

What You Will Learn

✅ Artificial Intelligence Fundamentals

✅ Machine Learning Algorithms

✅ Data Preprocessing & Model Training

✅ Generative AI Concepts

✅ Predictive Analytics

✅ AI Project Development

✅ Industry-Oriented Problem Solving

Benefits

✅ Internship Completion Certificate

✅ Letter of Recommendation (Performance-Based)

✅ Hands-on AI & ML Project Experience

✅ Professional Mentorship & Guidance

✅ Resume & LinkedIn Profile Enhancement

✅ Portfolio Development Support

✅ Exposure to Real-World AI Applications

About the Internship

LetsIntern is looking for enthusiastic and creative students who are passionate about Web Development and Artificial Intelligence. This internship provides hands-on experience in building modern websites, integrating AI-powered features, and working on real-world industry projects.

Interns will learn how to develop responsive web applications, work with modern development tools, and leverage AI technologies to create smarter digital solutions.

Key Responsibilities

• Design and develop responsive websites and web applications.
• Work with HTML, CSS, JavaScript, and modern web development frameworks.
• Integrate AI-powered tools and features into web applications.
• Assist in website testing, debugging, and performance optimization.
• Collaborate with mentors and team members on project development.
• Create and maintain project documentation.
• Participate in code reviews and development discussions.
• Research emerging AI and web technologies.

Required Skills

• Basic knowledge of HTML, CSS, and JavaScript.
• Understanding of web development concepts and responsive design.
• Familiarity with Bootstrap, React, or similar frameworks is a plus.
• Interest in Artificial Intelligence and AI-powered web applications.
• Strong problem-solving and analytical skills.
• Willingness to learn and work on real-world projects.

Eligibility

• B.Tech, BCA, MCA, B.Sc., M.Sc., or related fields.
• Students and recent graduates interested in Web Development, Software Engineering, or AI.
• Freshers are encouraged to apply.

What You Will Learn

✅ Front-End Web Development

✅ Responsive Website Design

✅ JavaScript & Modern Frameworks

✅ AI Integration in Web Applications

✅ API Integration

✅ Website Deployment & Hosting

✅ Real-World Project Development

Benefits

✅ Internship Completion Certificate

✅ Letter of Recommendation (Performance-Based)

✅ Hands-on Industry Project Experience

✅ Professional Mentorship & Guidance

✅ Portfolio Development Support

✅ Resume & LinkedIn Profile Enhancement

✅ Exposure to AI-Powered Web Technologies

About the Internship

LetsIntern is offering an exciting opportunity for students passionate about Bioinformatics, Computational Biology, Genomics, and Biotechnology. This internship is designed to provide practical exposure to biological data analysis, genomic research, bioinformatics tools, and modern computational techniques used in the life sciences industry.

Interns will work on industry-oriented projects, gain hands-on experience with bioinformatics workflows, and develop valuable skills that are highly sought after in biotechnology, healthcare, pharmaceutical, and research organizations.

Key Responsibilities

• Assist in the analysis and interpretation of biological datasets.
• Work with genomic, proteomic, and sequence-based data.
• Perform literature reviews and scientific research.
• Learn and apply bioinformatics tools and databases.
• Support data collection, cleaning, and organization activities.
• Prepare reports, presentations, and project documentation.
• Collaborate with mentors and team members on assigned tasks.
• Participate in training sessions and project discussions.

Required Skills

• Basic understanding of Biotechnology, Bioinformatics, Genetics, or Molecular Biology.
• Interest in biological data analysis and computational biology.
• Familiarity with biological databases and research methods is a plus.
• Basic knowledge of Python, R, or data analysis tools is beneficial but not mandatory.
• Strong analytical and problem-solving skills.
• Good communication and documentation abilities.

Eligibility

• B.Sc., M.Sc., B.Tech, M.Tech, B.Pharm, M.Pharm, or related Life Science disciplines.
• Students pursuing Biotechnology, Bioinformatics, Genetics, Genomics, Microbiology, Computational Biology, Biochemistry, or related fields.
• Freshers and recent graduates are welcome to apply.

What You Will Learn

✅ Bioinformatics Fundamentals

✅ Genomics & Sequence Analysis

✅ Biological Databases & Research Tools

✅ Computational Biology Concepts

✅ Data Analysis in Life Sciences

✅ Scientific Research Methodologies

✅ Industry-Oriented Project Experience

Benefits

✅ Internship Completion Certificate

✅ Letter of Recommendation (Performance-Based)

✅ Hands-on Project Experience

✅ Mentorship from Industry Professionals

✅ Resume & LinkedIn Profile Enhancement

✅ Opportunity to Build a Professional Portfolio

✅ Exposure to Emerging Trends in Bioinformatics and Genomics

About Marseer AI

Marseer AI (www.marseerai.com) is a Seattle-based company building an AI-powered marketing intelligence platform for DTC and retail e-commerce brands. The platform combines brand strategy, customer data, automation, and generative AI to help marketing teams drive consistent, data-driven engagement across email, SMS, paid media, SEO, and affiliate channels.

Role Overview

We are looking for an experienced AI Engineer - Full Stack Developer to join the Marseer platform team. This is a dual-track role: you will build and maintain AI agent pipelines, LLM integrations, and RAG-based intelligence systems on the backend, while also owning frontend interfaces that surface insights, recommendations, and campaign outputs to marketing teams and brand operators.

You should be equally comfortable designing multi-step agentic workflows in Python and building clean, responsive product interfaces in React/Next.js. You understand how LLMs behave in production, know how to engineer prompts and tool chains for reliability, and care deeply about the end-to-end user experience.

What You Will Do

- Design and implement multi-step AI agent workflows using LLM orchestration frameworks such as LangChain, LangGraph, CrewAI, or similar.

- Build and maintain RAG pipelines, including chunking strategies, embedding generation, vector store management, and retrieval tuning.

- Integrate with LLM providers such as OpenAI, Anthropic, or others, including prompt engineering, tool/function calling, structured output generation, and context window management.

- Develop AI-driven features such as campaign brief generation, audience recommendations, content variant creation, and performance insight summarization.

- Implement evaluation and observability frameworks to monitor LLM output quality, latency, and cost in production.

- Build frontend interfaces using React and Next.js, including dashboards, agent interaction UIs, campaign builders, and insight surfaces.

- Design and implement RESTful and/or GraphQL APIs in Python (FastAPI or Flask) or Node.js to serve AI outputs to the frontend.

- Integrate frontend with backend AI services, streaming LLM responses, and real-time status updates.

- Work with structured and unstructured marketing data, campaign performance metrics, audience segments, content libraries, and brand strategy documents.

- Integrate with marketing platforms and data sources such as Klaviyo, Google Ads, Meta, and Shopify.

Requirements

- 5-10 years of professional software engineering experience, with meaningful time in both backend and frontend development.

- Proven experience building and deploying LLM-powered applications in production, not just prototypes.

- Strong proficiency in Python for backend and AI development.

- Strong proficiency in React and Next.js for frontend development.

- Hands-on experience with LLM orchestration frameworks such as LangChain, LangGraph, CrewAI, or equivalent.

- Experience building RAG pipelines, vector stores such as Pinecone, Weaviate, pgvector, or similar, embedding models, and retrieval strategies.

- Experience with API design, REST or GraphQL, and backend service architecture.

Strongly Preferred

- Experience designing and building multi-agent or agentic AI systems with tool use, memory, and planning capabilities.

- Familiarity with prompt engineering best practices, structured output generation, and LLM evaluation methodologies.

- Experience with streaming LLM responses and real-time UI updates using SSE or WebSockets.

- Prior work in a SaaS product company shipping production features.

- Familiarity with marketing platforms, e-commerce data, or martech ecosystems.

Good to Have

- TypeScript and modern frontend tooling such as Tailwind CSS or shadcn/ui.

- Familiarity with Snowflake or other cloud data warehouses as data sources for AI pipelines.

- Experience with observability tools for LLM applications such as LangSmith, Helicone, Arize, or similar.

- Understanding of marketing concepts such as segmentation, campaign lifecycle, attribution, and content personalization.

What We Are Looking For

- Availability to work US business hours; overlap with US Eastern or Pacific timezone is required for client collaboration and team standups.

- Strong written and verbal English communication.

- Product sense and ownership mindset.

- Comfort with ambiguity in non-deterministic LLM-powered systems.

- Collaborative working style across engineering, design, and client-facing functions.

What We Offer

- Competitive compensation based on experience.

- Fully remote role; work from anywhere in India, with Hyderabad-based candidates preferred.

- High-impact work at the frontier of applied AI for marketing and e-commerce.

- Direct exposure to real brand problems, real data, and real production AI systems.

- A small, senior team where your architecture decisions matter and your contributions are visible.

Key Responsibilities

Backend Development

• Design, develop, and maintain scalable backend services using Rust, Python, and TypeScript.
• Build high-performance microservices and APIs for AI-driven products.
• Develop fault-tolerant, secure, and maintainable distributed systems.
• Design event-driven architectures and asynchronous processing pipelines.
• Implement caching, message queues, and database optimization strategies.

AI & Machine Learning Integration

• Build and maintain backend infrastructure supporting LLMs, Generative AI, RAG systems, and AI Agents.
• Integrate models from providers such as OpenAI, Anthropic, Gemini, and open-source LLMs.
• Develop vector search solutions using Pinecone, Weaviate, Qdrant, or similar technologies.
• Build AI workflows for content generation, summarization, sentiment analysis, and conversational intelligence.
• Optimize AI inference pipelines for performance and cost efficiency.

System Architecture

• Design scalable architectures capable of handling high traffic and large volumes of data.
• Develop real-time processing systems and data pipelines.
• Implement observability, monitoring, logging, and alerting mechanisms.
• Drive performance tuning and latency optimization across services.

Cloud & DevOps

• Deploy and manage applications on AWS, GCP, or Azure.
• Work with Docker, Kubernetes, CI/CD pipelines, and Infrastructure as Code.
• Ensure system reliability, security, and scalability. 

Job Description

This is a remote position.

Incubyte is looking for a hands-on Inbound Marketing & GTM Operations Manager to take over and execute its inbound-led marketing and GTM operations.

The website, SEO strategy, conference playbooks, referral ecosystem tracker, and partner ecosystem direction will already be created and handed over. This role is responsible for maintaining these systems, coordinating execution, tracking progress, and ensuring marketing activities move forward consistently.

The person will work closely with founders, sales, engineering teams, and external partners to support Incubyte’s inbound, referral, partnership, and conference-led GTM efforts.

This is an execution-first role suited for someone who is organized, proactive, comfortable working with technical teams, and able to manage multiple marketing workflows independently.

Key Responsibilities

1. Website & Marketing Infrastructure

• Take ownership of the website after handover and ensure it remains updated, functional, and aligned with marketing priorities.
• Monitor website performance, traffic sources, form submissions, and basic conversion activity.
• Ensure Google Analytics, Google Search Console, Google Tag Manager, website forms, and Google Workspace-related workflows are functioning correctly.
• Maintain a simple tracker for website updates, issues, fixes, and improvement opportunities.
• Coordinate with internal stakeholders or external specialists when website updates or fixes are required.

2. SEO & Inbound Marketing Execution

• Own the execution of the SEO content calendar based on the predefined SEO strategy.
• Manage the inbound marketing calendar across blogs, case studies, landing pages, service pages, LinkedIn posts, newsletters, and sales-support content.
• Coordinate with founders, engineering teams, writers, designers, or freelancers to move content from brief to published asset.
• Ensure SEO briefs, content buckets, keywords, publishing cadence, and review timelines are followed.
• Work with engineering and internal subject matter experts to gather inputs for technical content when required.
• Repurpose approved content into smaller assets for LinkedIn, email, website, or sales follow-ups.
• Track published content, organic traffic, impressions, clicks, keyword movement, and other basic SEO performance indicators.

3. Conference Marketing Execution

• Execute Incubyte’s existing conference playbooks across pre-conference, during-conference, and post-conference stages.
• Work from the existing conference master list, scoring framework, and participation plan covering speaking, exhibiting, sponsoring, or attending.
• Coordinate conference-related assets such as landing pages, email/LinkedIn copy, one-pagers, decks, meeting lists, QR codes, and follow-up material.
• Support founders and sales teams with pre-event preparation and post-event follow-up.
• Track conference tasks, meetings, leads, follow-ups, and outcomes.
• Prepare basic post-conference summaries covering activity, outcomes, learnings, and next steps.

4. Partner & Referral Ecosystem Support

• Maintain partner and referral ecosystem trackers and keep relevant stakeholders updated on progress.
• Support communication between Incubyte’s internal teams, referral contacts, and partner ecosystem teams.
• Coordinate required partner inputs such as documentation, capability material, enablement requirements, listings, submissions, and co-marketing inputs.
• Support referral conversations with relevant collateral such as one-pagers, service decks, intro blurbs, case studies, and follow-up content.
• Ensure partner and referral activities are backed by clear positioning, proof points, and updated marketing assets.
• Track open tasks, follow-ups, blockers, and next steps across partner and referral initiatives.

5. Sales Enablement, CRM & Reporting

• Create, update, and maintain basic sales and marketing collateral, including decks, one-pagers, case studies, proposal narratives, and follow-up assets.
• Ensure all collateral is current, consistent, and aligned with Incubyte’s positioning and service offerings.
• Support basic HubSpot or CRM hygiene for website leads, campaign tagging, contact updates, and lead source visibility.
• Ensure website forms and inbound leads are captured and routed appropriately.
• Maintain weekly and monthly reports across website, SEO, content, conferences, partnerships, referrals, and marketing execution.
• Track activity status, blockers, outcomes, and next steps in shared trackers.

Requirements

• 2–5 years of experience in B2B marketing, inbound marketing, marketing operations, content operations, or GTM coordination.
• Experience working in B2B SaaS, technology services, AI, software development, IT services, consulting, or agency environments.
• Strong project management and execution skills.
• Experience managing content calendars, publishing workflows, and stakeholder follow-ups.
• Working knowledge of SEO content execution and basic SEO performance tracking.
• Familiarity with Google Analytics, Google Search Console, Google Tag Manager, and website performance monitoring.
• Ability to coordinate with founders, sales teams, engineering teams, writers, designers, freelancers, and external partners.
• Strong written communication and content coordination skills.
• Comfortable working with HubSpot or similar CRM tools at a basic operational level.
• Strong ownership, follow-through, and ability to operate independently with predefined strategies and playbooks.

Good to Have

• Experience executing B2B conference or event marketing playbooks.
• Experience supporting partner ecosystem or referral-led GTM activities.
• Experience working with technical teams to create or coordinate content.
• Familiarity with Webflow, WordPress, or similar CMS platforms.
• Experience creating or updating sales collateral.
• Basic understanding of lifecycle stages, lead sources, and campaign reporting.
• Experience in AI, cloud, data, product engineering, or software services marketing.

Success in This Role Looks Like

• The website is monitored, updated, and functioning smoothly after handover.
• SEO and inbound content are published according to the agreed calendar.
• Engineering and founder inputs are converted into useful marketing assets.
• Conference playbooks are executed on time with proper preparation and follow-up.
• Partner and referral ecosystem tasks are tracked and coordinated.
• Sales collateral stays updated, relevant, and usable.
• Website leads and campaign activities are captured with basic CRM hygiene.
• Founders and sales have clear visibility into what marketing is executing, what is pending, and what needs attention.

Benefits

Life at Incubyte 

We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered. 

Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion. 

Perks

• Dedicated learning & development budget. 
• Sponsorship for conference talks. 
• Comprehensive medical & term insurance. 
• Employee-friendly leave policies. 
• Home Office fund 
• Medical Insurance

About Us

We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable. 

Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.  

We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life. 

Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk. 

Our Guiding Principles 

These principles define how we work at Incubyte. They are non-negotiable. 

Relentless Pursuit of Quality with Pragmatism 

  We build high-quality systems without losing sight of delivery. 

Extreme Ownership 

  We take responsibility end-to-end for decisions, execution, and outcomes. 

Proactive Collaboration 

  We collaborate closely, challenge each other, and solve problems together. 

Active Pursuit of Mastery 

  We continuously improve our craft and raise our bar. 

Invite, Give, and Act on Feedback 

We seek, give, and act on feedback to get better every day. 

Ensuring Client Success 

We act as trusted partners and focus on real outcomes, not just output. 

Job Description

This is a remote position.

Experience Level 

This role is ideal for operations professionals with 3–4 years of experience in provider data operations and publisher platform management. 

• Healthcare domain — prior exposure to US health systems and provider directories is a good to have; ability to grasp it quickly is a must 
• Quick learner — picks up new tools, documentation, and internal systems fast without hand-holding 
• US team overlap — comfortable working a shift starting around 3 PM IST to align with the US team 

What You’ll Do as an Operations Specialist 

• Own the Backlog: Research, validate, and map 3,000 unmatched provider profiles to their correct Google Business Listings within a defined timeline. 
• Keep the Queue Clean: Monitor daily incoming flat file data and resolve new unmatched provider records before they pile up. 
• Dig Into Root Causes: Investigate why profiles fail to syndicate — not just fix the symptom, but understand what is actually causing the mismatch. 
• Work Across Publishers: Troubleshoot publishing failures on Google Business Profile, Bing, Apple Maps, and Reserve with Google — following up until each issue is fully resolved. 
• Manage Listings at Scale: Create new listings, resolve duplicates, and close profiles for providers who have changed practice or moved on. 
• Support Customer Onboarding: Help health system clients get set up — matching Google profiles, building marketable locations, populating working hours, and mapping categories across publishers. 
• Talk to Engineering: Flag patterns and systemic data issues (NAP inconsistencies, format mismatches) to the product and engineering team so we can reduce manual work over time. 
• Make Processes Smarter: Recommend improvements to the matching workflow and use AI tools or light scripting to automate what does not need to be done by hand. 

Requirements

What You’ll Bring 

• US Healthcare Context: You understand how provider data works — NPI numbers, provider directories, credentialing basics — and you have worked on US healthcare data before, even if not in this exact context. 
• Data Instinct: You spot what is wrong with a messy data file without being told where to look, and you know the difference between fixing a record and fixing the problem that caused it. 
• Publisher Knowledge: You have worked with Google Business Profile, Bing Places, or Apple Maps in a hands-on capacity — you know how matching works, what causes duplicates, and how to challenge a wrongly flagged listing. 
• Technical Comfort: You are comfortable with Postman or any HTTP client for API-level investigation, and you can read and interpret JSON well enough to diagnose what is going wrong. 
• Excel Fluency: You handle large, messy data files without stress — cross-referencing, cleaning, and spotting anomalies across hundreds or thousands of rows. 
• Clear Writing: You write well — clearly enough that a customer-facing colleague can pick up your update and act on it without asking follow-up questions, and specifically enough that an engineer knows exactly what needs to be fixed. 
• Independent Thinking: You work through ambiguous problems without waiting to be told what to do next — if the documentation does not answer your question, you find the answer yourself. 

Good to Have 

• TypeScript or Scripting Ability: If you can write a small utility to automate a repetitive task, that is a genuine advantage in this role. 
• Analytics Tools: Familiarity with Looker or Datadog for monitoring operational health and surfacing anomalies early. 
• AI Tool Fluency: You actively use tools like Claude, Gemini, or Copilot to work faster — not as a crutch, but as a genuine productivity layer. 
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Benefits

Life at Incubyte 

We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered. 

Our environment is built for crafters: experimenting with real-world systems, solving complex infrastructure challenges, and contributing to cutting-edge AI initiatives. We are all lifelong learners, and our work is our passion. 

Perks 

• Dedicated learning & development budget 
• Sponsorship for conference talks 
• Comprehensive medical & term insurance 
• Employee-friendly leave policies

Sr Software Engineer

Company Summary :

As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference.

At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work. Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress.

Business Summary :

The Deltek Engineering and Technology team builds best-in-class solutions to delight customers and meet their business needs. We are laser-focused on software design, development, innovation and quality. Our team of experts has the talent, skills and values to deliver products and services that are easy to use, reliable, sustainable and competitive. If you're looking for a safe environment where ideas are welcome, growth is supported and questions are encouraged – consider joining us as we explore the limitless opportunities of the software industry.

Position Responsibilities :

• Collaborate with the development team to maintain, enhance, and scale the product for enterprise use.
• Design and develop scalable, high-performance solutions using cloud technologies and containerization.
• Contribute to all phases of the development lifecycle, following SOLID principles and best practices.
• Write well-designed, testable, and efficient code with a strong emphasis on Test-Driven Development (TDD), ensuring comprehensive unit, integration, and performance testing.
• Ensure software designs comply with specifications and security best practices.
• Recommend changes to improve application architecture, maintainability, and performance.
• Develop and optimize database queries using T-SQL.
• Prepare and produce software component releases.
• Develop and execute unit, integration, and performance tests.
• Support formal testing cycles and resolve test defects.

AI-Specific Responsibilities:

• Integrate AI-powered tools and frameworks to enhance code quality and development efficiency.
• Utilize AI-driven analytics to identify performance bottlenecks and optimize system performance.
• Implement AI-based security measures to proactively detect and mitigate potential threats.
• Leverage AI for automated testing and continuous integration/continuous deployment (CI/CD) processes.
• Guide the adoption and effective use of AI agents for automating repetitive development, deployment, and testing processes within the engineering team.

Qualifications :

• Bachelor’s degree in Computer Science, IT, or a related field.
• Highly proficient in ASP.NET Core (C#) and full-stack development.
• Experience developing REST APIs.
• Proficiency in front-end technologies (JavaScript, HTML, CSS, Bootstrap, and UI frameworks).
• Strong knowledge of cloud platforms (Azure preferred), including scalability and enterprise cloud. 
• Strong database experience, particularly with T-SQL and relational database design.
• Advanced understanding of object-oriented programming (OOP) and SOLID principles.
• Experience with security best practices in web and API development.
• Knowledge of Agile SCRUM methodology and experience in collaborative environments.
• Experience with Test-Driven Development (TDD).
• Strong analytical skills, problem-solving abilities, and curiosity to explore new technologies.
• Ability to communicate effectively, including explaining technical concepts to non-technical stakeholders.
• High commitment to continuous learning, innovation, and improvement.

AI-Specific Qualifications:

• Proficiency in AI-driven development tools and platforms such as GitHub Copilot in Agentic Mode.
• Knowledge of AI-based security protocols and threat detection systems.
• Experience integrating GenAI or Agentic AI agents into full-stack workflows (e.g., using AI for code reviews, automated bug fixes, or system monitoring).
• Demonstrated proficiency with AI-assisted development tools and prompt engineering for code generation, testing, or documentation.

AI-First Mindset Requirement:

This role requires embracing an AI-first approach to work, where GenAI and agentic AI tools are viewed as essential collaborators rather than optional supplements. We expect team members who naturally think in terms of AI-enhanced workflows, proactively seek opportunities to integrate intelligent automation, and demonstrate curiosity about leveraging AI to solve complex problems more efficiently.

The ideal candidate approaches challenges by first considering: "How can AI help me accomplish this faster and better?" while maintaining high standards for quality, security,

Ever dreamed of being part of new product initiatives? Feel the energy and excitement to work on version 1 of a product, and bring the idea on paper to life. Do you want to work on SAAS products that can become the next Uber, Airbnb, or Flipkart? We allow you to be part of a team leading the development of a SAAS product.

Our organization relies on its central engineering workforce to develop and maintain a product portfolio of several different startups. Our product portfolio continuously grows as we incubate more startups, which means that different products are very likely to use different technologies, architecture & frameworks - a fun place for smart tech lovers!

The Role:

A Senior Frontend Engineer strives to build solid frontend foundations, infrastructure, and top-notch experiences. You are required to work in teams alongside back end developers, graphic designers, and user experience designers to ensure all elements of web creation are consistent. This requires excellent communication and interpersonal skills.

Roles and Responsibilities:

●   Develop high-quality and responsive user interfaces using HTML, CSS, and JavaScript

●   Implement and maintain frontend frameworks and libraries, such as React, Angular, or Vue.js

●   Collaborate with designers to translate wireframes and mockups into functional UI components

●   Ensure cross-browser compatibility and optimize web applications for maximum speed and scalability

●   Write clean, modular, and maintainable code following coding standards and best practices

●   Conduct thorough testing and debugging to ensure the functionality and performance of UI components

●   Participate in code reviews, providing constructive feedback to improve code quality and maintainability

●   Work closely with backend engineers to integrate frontend interfaces with server-side logic and APIs

●   Collaborate with product managers and stakeholders to understand project requirements and provide technical insights

●   Stay up-to-date with the latest front-end technologies, trends, and best practices, and proactively suggest improvements to the development process

●   Champion usability and accessibility, adhering to web accessibility guidelines (e.g., WCAG) and implementing UX principles

●   Provide technical guidance and mentorship to junior engineers, fostering their growth and development

Experience using AI agents/coding assistants (e.g., Copilot, Claude, Cursor) during the software development lifecycle.

Ability to effectively leverage AI for code generation, debugging, testing, problem decomposition, and improving developer productivity.

Demonstrates good ownership of AI-generated code, including reviewing, validating, and refining outputs before adoption.

Mandatory Qualifications:

●   A minimum of 3+ years of relevant experience

●   Proficient knowledge of any popular JS framework like React, Ember, Angular, or Backbone

●   Experience with common front-end tools like SASS/Stylus, Jade, Grunt/Gulp, etc

●   Good understanding of REST API

●   Ability to build a feature from scratch & drive it to completion

●   A willingness to learn new technology, whatever lets you deliver the best product

Good to have:

We also expect the following, but we accept that you can be an absolutely great developer without fulfilling the below. So go ahead and apply even if the following isn’t applicable:

●   Have a few weekend side-projects up on GitHub

●   Have contributed to an open-source project

●   Have worked at a product company

●   Have a working knowledge of a backend programming language.

 Location: Bangalore

Here's the full description — paste-ready for Naukri. Use the B button for the bold headers and the bullet-list button for the lists as you go.

Shopify and AI Developer – Full-Time Remote

AlphaPixels Media is a Canadian digital marketing agency serving clients across North America. We build complete growth systems for our clients: e-commerce stores, CRM pipelines, AI tools, and marketing automation. We are hiring a technical all-rounder who lives at the intersection of web development, automation, and AI, and who takes pride in clean, finished work.

The role

You will be the technical backbone of our client delivery. Your first project is a complete Shopify store build for an established North American business, followed by ongoing store builds, CRM setups, automation pipelines, and AI tool deployments across our client base. You take a brief and deliver working systems.

What you will do

• Build Shopify stores from scratch: theme setup, customization, custom sections (Liquid, HTML, CSS, JavaScript), payments, shipping, taxes, multi-currency
• Build conversion-focused product pages and landing pages
• Implement 301 redirect maps for site migrations without losing SEO rankings
• Set up and manage CRM systems: pipelines, calendars, forms, SMS and email sequences, workflow automations (GoHighLevel experience is a strong advantage)
• Build automations with Make (Integromat), Zapier, webhooks, and REST APIs connecting stores, CRMs, sheets, and ad platforms
• Deploy and configure AI tools: website chatbots, AI receptionists and voice agents, and content pipelines using OpenAI, Claude, or similar APIs
• Install tracking (Meta pixel, GA4, conversion APIs) and third-party widgets
• Maintain, troubleshoot, and improve everything you build

Must have

• 3+ years hands-on web development with live Shopify stores you personally built
• Strong Liquid, HTML, CSS, JavaScript
• Real experience building automations with Make, Zapier, or direct API integrations
• Working knowledge of AI APIs and prompt-based tools (chatbots, LLM integrations)
• Comfortable using AI coding tools (Claude Code, Cursor, or similar) in your daily workflow
• At least one full store migration or replatforming experience
• Strong written English and reliable daily communication
• Self-managed: you take a brief and return finished, tested work

Strong advantage

• GoHighLevel (sub-accounts, workflows, snapshots)
• Voice AI platforms (Vapi, Retell, ElevenLabs or similar)
• Shopify Markets / multi-currency
• Basic SEO (redirects, page speed, structured data)
• Figma to web workflow

Hours

Flexible, with a minimum 3-hour overlap with Canadian Central Time mornings (approximately 6:30 PM to 9:30 PM IST).

How to apply

Applications missing any of the following will not be reviewed:

1. A Loom video (3 to 5 minutes) showing one Shopify store you built AND one automation or AI tool you built. Walk us through what it does and the decisions you made.
2. Links to live work: stores, automations, or tools, with your specific role on each
3. Your expected monthly salary
4. Begin your application with the word COPPER to confirm you read this fully

Shortlisted candidates complete a small test task before final interviews.

Job Title: Engineering Manager

Location- Delhi

Job type: Full time, On site

About Us: TIMBLE is leading Authentication Company, delivering cutting edge technology and alternate data analysis for Identity management, Onboarding & Verification and Business Intelligence. We provide solutions across three verticals

1. BFSI Solutions

2. KYC and background check Solutions

3.AI Solutions

Role Overview

As an Engineering Manager at Timble AI, you will manage, mentor, and scale our core engineering teams (including Backend, Frontend, and AI/ML divisions). You will remain highly technical, contributing to architecture decisions and system design, while taking full ownership of project delivery timelines, agile sprints, and team performance metrics.

Key Responsibilities

1. People Leadership & Mentorship: Manage and grow a cross-functional team of software engineers (SDE-1 to SDE-3). Conduct regular 1-on-1s, drive career growth paths, and foster an innovative, high-ownership engineering culture.
2. Delivery & Agile Project Management: Own the engineering sprint cycles. Work closely with Product Managers to break down roadmaps into execution goals, manage dependencies, and ensure high-velocity, predictable delivery.
3. System Design & Architecture: Provide technical governance and direction. Collaborate on core system architecture, design reviews, and ensure codebases remain clean, scalable, and modular.
4.  Engineering Excellence: Define and monitor key performance indicators (KPIs) for the engineering team, including code quality, test coverage, uptime, and system performance.
5. Hiring & Scaling: Actively partner with the talent acquisition team to identify, interview, and onboard top-tier engineering talent to help build our core verticals.

Required Skills & Qualifications

1. Experience: 5+ years of core software engineering experience, with at least 1–2 years of experience in an engineering management, tech lead, or team leadership role.
2. Technical Roots: Strong foundational background in backend systems, distributed architectures, or AI integration. Prior hands-on experience with Python/Django ecosystems, microservices, cloud infra (AWS/GCP), or heavy automation systems is highly valued.
3. Agile Mastery: Deep familiarity with Agile/Scrum development methodologies, sprint planning tools, and CI/CD pipelines.
4.  Communication: Exceptional interpersonal and cross-functional communication skills, with a track record of translating complex technical visions into clear execution steps.
5.  Education: B.Tech / M.Tech in Computer Science, Information Technology, or a related technical discipline from a reputed institute.

Learn more about us at: https://timbleglance.com

Job Title: Technical AI Product Manager (Agentic AI)

Location- Delhi

Job type: Full time, On site

About Us: TIMBLE is leading Authentication Company, delivering cutting edge technology and alternate data analysis for Identity management, Onboarding & Verification and Business Intelligence. We provide solutions across three verticals

1. BFSI Solutions

2. KYC and background check Solutions

3.AI Solutions

Key Responsibilities

1. Product Strategy & Roadmap: Own the end-to-end product lifecycle for AI-native and agentic products. Translate complex operational problems into AI-driven workflows and autonomous agent solutions.
2. Agentic AI Architecture: Prototyping multi-agent workflows using LangGraph, LangChain, and modern LLM tooling. Build systems featuring tool calling, structured memory, planning, and reflection capabilities.
3. Hands-on Development: Develop proof-of-concepts (PoCs) and MVPs using Python. Integrate LLM APIs, vector databases, retrieval systems, and custom prompt engineering techniques.
4.  Agile Execution: Convert stakeholder requirements into technical specifications, user stories, and high-quality PRDs. Lead sprint planning and agile ceremonies with backend and AI/ML teams.
5.  Performance & Metrics: Define and monitor AI-specific KPIs, including token latency, system reliability, contextual accuracy, and hallucination rates.

Required Skills & Qualifications

1. Experience: 4+ Years in Product Management or Technical Product Management (TPM).
2. Domain Expertise: Proven track record of shipping AI/ML, Generative AI, or LLM-based applications.
3. Technical Skills: Hands-on experience prototyping or designing AI agents/workflows. Strong programming literacy in Python to interface with data science frameworks.
4. Education: B.Tech/M.Tech in Computer Science or a related technical discipline from a reputed institute.

What We Offer

1.  Absolute ownership of the core agentic roadmap in a high-growth AI startup.
2. A collaborative, high-velocity workspace with zero corporate bureaucracy.
3. Competitive compensation packages and performance-driven trajectory.

Learn more about us at: https://timbleglance.com

PHP AI Developer

We are seeking a highly skilled PHP AI Developer with experience in building intelligent web applications, AI-powered automation solutions, and scalable enterprise systems. The ideal candidate should have strong expertise in PHP (Laravel), MySQL, JavaScript, REST APIs, AI integrations (OpenAI/Gemini/LLMs), and workflow automation, along with hands-on experience in developing AI-driven products and business applications. This role offers Permanent Work From Home.

Key Responsibilities

• Design, develop, and maintain scalable PHP/Laravel applications integrated with AI capabilities.
• Build AI-powered modules such as chatbots, document processing systems, recommendation engines, and workflow automation tools.
• Integrate Large Language Models (LLMs) like OpenAI, Gemini, Claude, or similar AI services into web applications.
• Develop and optimize REST APIs and third-party integrations.
• Implement AI features including text generation, summarization, classification, semantic search, and conversational interfaces.
• Optimize application performance, scalability, and security.
• Collaborate with product, design, and business teams to deliver AI-enabled solutions.
• Conduct code reviews and mentor junior developers.
• Stay updated with emerging AI technologies and recommend innovative improvements.

Required Skills & Qualifications

• Strong expertise in PHP (Laravel, Core PHP).
• Proficiency in MySQL, PostgreSQL, and MongoDB.
• Experience with AI APIs and LLM integrations (OpenAI, Gemini, Anthropic, Azure OpenAI, etc.).
• Knowledge of Prompt Engineering, RAG (Retrieval-Augmented Generation), Vector Databases, and AI Workflows.
• Experience with REST APIs, Webhooks, and third-party integrations.
• Hands-on experience with Git/GitHub, Docker, CI/CD pipelines.
• Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.
• Minimum 2+ years of software development experience, including AI-powered application development.

Preferred Experience

• Experience developing AI-powered SaaS platforms.
• Knowledge of chatbot development and intelligent automation solutions.
• Experience with vector databases such as Pinecone, Weaviate, ChromaDB, or FAISS.
• Exposure to enterprise-scale applications and high-traffic systems.
• Experience in ERP, CRM, EdTech, HRMS, or workflow management platforms with AI enhancements

Strong Senior AI/ML / GenAI / AI Engineer Profiles

Mandatory (Experience 1) – Must have minimum 5+ years of total software development experience, with at least 2+ years working on Gen AI / AI / LLM-based features in production

Mandatory (Experience 2) – Must have strong backend engineering experience using Python (FastAPI / Django preferred) and building production-grade systems

Mandatory (Experience 3) – Must have hands-on experience building LLM-based applications, including OpenAI / Gemini / similar models in real projects

Mandatory (Experience 4) – Must have experience with RAG (Retrieval Augmented Generation) including chunking, embeddings, and retrieval pipelines

Mandatory (Experience 5) – Must have experience designing end-to-end AI pipelines, including chaining, tool usage, structured outputs, and handling failure cases

Mandatory (Experience 6) – Must have experience building agentic AI systems (multi-step workflows, tool orchestration like LangGraph / CrewAI or custom agents)

Mandatory (Experience 7) – Must have strong coding and system design skills, not just prompt engineering or experimentation

Mandatory (Experience 8) – Must have experience shipping AI features in production, not just POCs or research projects

Mandatory (Experience 9) – Must have experience working with APIs, backend services, and integrations

Mandatory (Experience 10) – Must have understanding of AI system reliability, including latency, cost optimization, fallback handling, and basic eval thinking

Mandatory (Company) – Product companies / startups, preferably Series A to Series D

Mandatory (Tech Stack) – Strong in Python + AI/LLM ecosystem, experience with modern AI tooling and frameworks

Mandatory (Exclusion) – Reject profiles that are only Prompt Engineers, Data Scientists, or Frontend Engineers without strong backend + system building experience

Job Title: Product Lead or Tech Lead (AI & Infrastructure)

Location- Delhi

Job type: Full time, On site

About Us: TIMBLE is leading Authentication Company, delivering cutting edge technology and alternate data analysis for Identity management, Onboarding & Verification and Business Intelligence. We provide solutions across three verticals

1. BFSI Solutions

2. KYC and background check Solutions

3. AI Solutions

Role Overview-You will be the architectural backbone of Timble’s AI engine. This role requires a strong backend & systems mindset with exposure to AI/ML systems—balancing the development of high-accuracy fraud detection models with the scalable infrastructure required to run them.

Key Responsibilities

·      Engineering Leadership: Lead the development of our core AI products, including Bank Statement Analyzers, Face Match technology, and Electronic Residence Physical Verification (ERPV).

·      AI/ML Architecture: Design and deploy AI/ML-driven systems for document intelligence, fraud detection, and automation to enhance real-time intelligence.

·      Delivery Ownership: Take end-to-end ownership of features and ensure timely delivery in high-stakes production environments.

·      System Design & Scalability: Design and optimize high-throughput, low-latency API systems capable of handling real-world production loads across our 30+ high-quality APIs.

·      Hands-on Contribution: Remain hands-on with code when required, especially for critical modules, core architecture decisions, and troubleshooting.

·      Practical AI Application: Work on integrating and scaling AI/ML components in production. You must have the ability to apply complex AI solutions to solve real-world business problems.

·      Technical Strategy & InfoSec: Oversee Information Security protocols to protect proprietary financial data. Lead IP-related technical work, including patent-pending research for our authentication engines.

·      Mentorship: Act as the technical North Star for SDE-1 and SDE-2 engineers, instilling a culture of clean code, scalability, and cloud economics.

What We’re Looking For

·      Technical Expertise: Strong backend engineering expertise (Python or similar), with experience in building and maintaining scalable systems. Exposure to ML frameworks (TensorFlow/PyTorch) is a plus.

·      Domain Knowledge: Previous experience in Fintech, Cybersecurity, or BFSI tech stacks is highly preferred.

·      Infrastructure Skills: Solid experience with cloud infrastructure (AWS/GCP/Azure) and maintaining high availability.

·      Vision: The ability to translate complex fraud patterns into automated, executable code and a passion for "efficiency by design."

Learn more about us at: https://timbleglance.com

Description:

-> Work on full-stack development projects, handling both front-end and back-end development tasks.

-> Gain practical experience in designing, developing and deploying scalable web and application solutions.

-> Collaborate with teams to build efficient, secure, and user-friendly applications using modern technologies.

-> Work with a wide range of technologies and domains, including:

  Java Application Programming

  Web Development

  Python Application Programming with Django

  Machine Learning

  Data Science

  Artificial Intelligence

  Cyber Security

  Data Analytics

-> Develop problem-solving, analytical, and technical skills by working on projects.

Duration: 1 - 6 months

Mode: Online/Offline

Eligibility: Any BCA/MCA pursuing Students can apply.

Perks:

-> Internship Certificate

-> Letter of Recommendation.

Description:

-> Work on full-stack development projects, handling both front-end and back-end development tasks.

-> Gain practical experience in designing, developing and deploying scalable web and application solutions.

-> Collaborate with teams to build efficient, secure, and user-friendly applications using modern technologies.

-> Work with a wide range of technologies and domains, including:

  Java Application Programming

  Web Development

  Python Application Programming with Django

  Machine Learning

  Data Science

  Artificial Intelligence

  Cyber Security

  Data Analytics

-> Develop problem-solving, analytical, and technical skills by working on projects.

Duration: 1 - 6 months

Mode: Online/Offline

Eligibility: Any BE/BTech pursuing Students can apply.

Perks:

-> Internship Certificate

-> Letter of Recommendation.

Hi All,

Hope you are doing well,

If you are interested, please do revert back with the updated resume.

Position: Gen AI architect

Location: PAN India

Job Description:

AI/ML, Python, GenAI, Azure/AWS

Interview process:

1st level Assessment – HACKERRANK TEST(Candidate should be comfortable)

ABOUT THE ROLE

This is not a traditional role. You will work directly with IBC’s founder — close enough that this overlaps with a CEO’s office function — but your primary weapon is AI. You’ll use it to run our marketing engine, sharpen our BD process, and help the team work smarter every day.

IBC Consultants (www.consult-ibc.com) is a fast-growing consulting delivery firm that helps boutique strategy and transformation firms globally scale their execution capacity.

We’re looking for someone at the intersection of AI-powered business process engineering and B2B marketing execution — business-aware enough to make good judgment calls, and technical enough to build and run the systems that make those judgments scale. This role demands both: not just AI, and not just marketing.

WHAT YOU’LL OWN 

· AI-powered business process engineering — design, build, and iterate multi-step AI workflows across BD, marketing, and operations; you can build and debug these systems end-to-end, not just prompt for outputs

· Account-based marketing (ABM) — manage and improve IBC’s full BD pipeline from target identification to outreach; one of several application areas for your AI and process skills

· AI adoption — help the team integrate AI tools into day-to-day work

· Founder support — work directly on strategic priorities; this role sits at the centre of how IBC operates

· Team interface — work with delivery partners, clients, and the broader team

WHAT WE’RE LOOKING FOR

· 1–3 years experience in a fast-moving environment — consulting, startup, or marketing. Minimum 1 year of post-graduation work experience required; freshers will not be considered

· Genuinely AI-curious — you’ve used Claude, ChatGPT, Make, Zapier or similar and built multi-step workflows with them; you can build and debug these systems, not just write prompts for outputs

· Engineering or business degree from a good institution — we care about how you think

· Business-aware — you understand context before automating anything

· B2B marketing interest is a strong plus

· Works independently — owns outcomes, not just tasks

WHAT THIS IS NOT

· Not a traditional CEO’s office role (No prior CEO’s office experience required)

· Not an AI product development role (You won’t be building AI products from scratch()

· Not a siloed function (You’ll span BD, marketing, and operations)

WORKING AT IBC

Remote-first team with an onsite stint in Pune for the first 3–6 months. After that, work from wherever you work best. Learn more about our culture and values at: https://www.consult-ibc.com/careers/

HOW TO APPLY

Fill in the application form with your basic details, answers to screening questions, and attach your resume.

Apply here: https://forms.gle/XRgR9scvtuExo1FP7

Key Responsibilities

AI/ML & Python Development

• Design, develop, and integrate AI-powered solutions and intelligent features using Python.
• Build and implement Retrieval-Augmented Generation (RAG) pipelines to enhance knowledge retrieval and contextual AI responses.
• Develop AI applications using modern frameworks and tools such as LangChain, LlamaIndex, and AI Agents/Autonomous Workflows.
• Integrate Large Language Model (LLM) APIs, including OpenAI and similar platforms, into enterprise-grade applications.
• Design, implement, and manage vector databases to enable semantic search and AI-driven information retrieval.
• Collaborate with cross-functional teams to evaluate, fine-tune, and optimize AI models for performance, scalability, and accuracy.
• Stay updated with emerging AI technologies, frameworks, and industry best practices to drive innovation.

About Us :

CLOUDSUFI, a Google Cloud Premier Partner, a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance.

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, color, 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.

Role : Lead AI/Senior Engineer-AI

Location : Noida, Delhi/NCR

Experience : 5- 12 years

Education : BTech / BE / MCA / MSc Computer Science

Must Haves :

Conversational AI & NLU :

- Advanced proficiency with Dialogflow CX

- Intent classification, entity extraction, conversation flow design

- Experience building structured dialogue flows with routing logic CCAI platform familiarity

Agentic AI & Multi-Step Reasoning :

- Production experience with Google ADK (or LangChain/LangGraph equivalent)

- Multi-step reasoning and tool orchestration capability

- Tool-use patterns and function calling implementation

RAG Systems & Knowledge Management :

- Hands-on Vertex AI RAG Engine experience (or equivalent)

- Semantic search, chunking strategies, retrieval optimization

- Document processing pipelines (PDF parsing, chunking)

LLM/GenAI & Prompt Engineering :

- Production experience with Gemini models

- Advanced prompt engineering for customer support

- Langfuse experience for prompt management

Google Cloud Platform & Vertex AI :

- Advanced Vertex AI proficiency (Generative AI APIs, Agent Engine)

- Cloud Functions and Cloud Run deployment experience

- BigQuery for conversation analytics

API Integration :

- Genesys Cloud CX integration experience

- REST API design and webhook implementation

- Enterprise authentication patterns (OAuth 2.0)

Good To Have :

Conversational AI & NLU :

- Multi-language support implementation (Spanish/English)

- Telephony integration (speech recognition, TTS, DTMF)

- Barge-in handling and voice optimization

Agentic AI :

- Agent state management and session persistence

- Advanced fallback strategies and error recovery

- Dynamic tool selection and evaluation

RAG Systems :

- Re-ranking and advanced retrieval quality metrics

- Query expansion and context-aware retrieval

- Corpus organization strategies

LLM/GenAI :

- Prompt versioning, A/B testing, iterative refinement

- Prompt injection mitigation strategies

- In-context learning, few-shot, chain-of-thought techniques

LLMOps & Observability :

- Vertex AI Evaluation Service experience

- Groundedness, relevance, coherence, safety metrics

- Trace-level debugging with Cloud Trace

- Centralized logging strategies

Google Cloud :

- Application Integration connectors

- VPC Service Controls and enterprise security

- Cloud Pub/Sub for event-driven systems

Enterprise Integration :

- Third-party AI agent orchestration (SAP Joule, ServiceNow AI, Agentforce)

- Salesforce, SAP, ServiceNow integration patterns

- Context passage strategies for escalations

Architecture & System Design :

- Configuration-driven systems (Meta-Agent patterns)

- Microservices and containerization

- Scalable, multi-tenant system design

- Disaster recovery and failover strategies

Product Quality & KPIs :

- Customer support metrics expertise (CSAT, SSR, escalation rate)

- A/B testing and experimentation frameworks

- User feedback loop implementation

Deliverables :

- Architecture Design : End-to-end platform architecture, data flow diagrams, Dialogflow CX vs. ADK routing decisions

- Conversational Flows : 15+ dialogue flows covering billing, networking, appointments, troubleshooting, and escalations

- ADK Agent Implementation : Complex reasoning agents for technical support, account analysis, and context preparation

- RAG Pipeline : Document processing, chunking configuration, corpus organization (product docs, support articles, policies, promotions)

- Prompt Management : System prompts, Langfuse setup, playbook governance, version control

- Quality Framework : Evaluation pipeline, metrics dashboards, automated assessment, continuous improvement recommendations

- Integration Layer : Genesys handoff, webhook integrations, Application Integration setup, session management

- Testing & Validation : Conversation flow tests, performance testing (latency, throughput, 1000 concurrent users), security validation

- Response time <2 seconds (p95), 99.9% uptime, 1000 concurrent conversations

- Data encryption (TLS 1.2+, AES-256 at rest), PII redaction, 1-year data retention

- Graceful degradation and fallback mechanisms

Job Title: Chief of Staff (AI & Data-Driven Strategy) 

Company: StarApps Studio 

Experience: 4-6 years 

Location:Pune (On-site) 

About StarApps Studio 

StarApps Studio is a fast-growing Shopify app development company building high-impact ecommerce SaaS products for global merchants. We operate in a high-ownership, fast-execution environment where data, clarity, and speed matter.

Role Overview 

We are looking for a highly analytical and operational Chief of Staff to serve as the right-hand strategic partner to our founders and leadership team. This role is a force multiplier—you will drive executive execution, improve high-level decision-making, and lead strategic initiatives across the company. This requires strong analytical thinking, AI fluency, and the operational rigor to turn visionary ideas into measurable results.

Key Responsibilities

• Executive Strategy & Alignment: Act as a strategic partner to founders by managing business priorities and driving key organizational deliverables.
• Cross-Functional Leadership: Own the execution of high-impact cross-functional initiatives across Product, Growth, Support, and Operations.
• Business Intelligence: Build dashboards, trackers, and comprehensive reports to empower data-backed leadership decision-making.
• AI & Operational Excellence: Leverage AI tools (ChatGPT, automation, analytics) to aggressively optimize workflows and scale internal productivity.
• Operating Rhythm: Drive the cadence of leadership by preparing strategic meeting agendas, synthesizing notes, and ensuring relentless closure on action items.
• Market & Product Strategy: Conduct deep-dive market, competitor, and product research within the Shopify and SaaS ecosystem to inform strategic direction.
• Stakeholder Management: Drive seamless communication and alignment between internal teams and external partners.
• Trusted Advisor: Maintain strict confidentiality and high ownership while handling ambiguous, complex business challenges.

Preferred Qualifications

• 4+ years of experience as a Chief of Staff, Operations Associate, Strategy Consultant, or in a similar strategic role.
• Strong data-driven mindset with proven experience using Excel/Google Sheets, dashboards, and reporting tools.
• High proficiency with AI tools like ChatGPT, Notion AI, automation workflows, and prompt-based productivity.
• Exceptional written and verbal communication skills paired with strong stakeholder management abilities.
• Proven ability to operate in a fast-paced startup environment, taking high ownership of outcomes.
• Elite organizational skills, sharp attention to detail, and the ability to multitask seamlessly across competing priorities.
• Experience in ecommerce, SaaS, the Shopify ecosystem, or tech startups is a strong advantage.
• Comfortable working directly with founders and independently solving ambiguous, unstructured problems.

What We Offer

• Direct exposure to startup leadership and strategic decision-making.
• A high-impact role with a significant ownership and growth trajectory.
• The opportunity to work at the cutting-edge intersection of AI, ecommerce, and product execution.
• Competitive compensation with performance-driven growth opportunities.

Senior AI/ML Engineer

📍 Pune, Maharashtra (Onsite)

💼 Experience: 6–10 Years

🕒 Employment Type: Full-Time

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to lead the design, development, and deployment of enterprise-scale Artificial Intelligence and Machine Learning solutions. The ideal candidate will possess strong expertise in production-grade Retrieval-Augmented Generation (RAG) systems, deep learning architectures, semantic search platforms, vector databases, and AI orchestration frameworks.

This role requires hands-on technical leadership, architectural ownership, and proven experience building scalable AI systems that operate reliably in production environments.

Key Responsibilities

• Design and architect enterprise-grade RAG (Retrieval-Augmented Generation) solutions
• Build and optimize document chunking, retrieval, reranking, and hallucination mitigation pipelines
• Develop and deploy machine learning models using XGBoost, PyTorch, and TensorFlow
• Design deep learning solutions including LSTM and transformer-based architectures
• Build semantic search and vector retrieval systems using modern vector databases
• Develop advanced AI workflows using LangChain and LangGraph
• Design and implement multi-agent AI systems and orchestration frameworks
• Lead AI model deployment, monitoring, optimization, and lifecycle management
• Collaborate with cross-functional teams to translate business requirements into scalable AI solutions
• Mentor junior engineers and contribute to technical leadership initiatives
• Drive AI architecture decisions, performance tuning, and best practices

Required Skills & Qualifications

Must-Have Technical Skills

• 6–10 years of software engineering and AI/ML development experience
• Strong experience building and deploying production AI/ML systems
• Hands-on expertise with RAG architectures and semantic retrieval systems
• Experience with vector databases such as Pinecone, Weaviate, Chroma, Milvus, or Qdrant
• Strong knowledge of Machine Learning and Deep Learning concepts
• Hands-on experience with:
• PyTorch and/or TensorFlow
• XGBoost
• LangChain
• LangGraph
• Experience deploying AI applications in production environments
• Strong debugging, performance optimization, and troubleshooting skills
• Excellent Python programming skills
• Understanding of REST APIs, microservices, and scalable system design

Preferred Skills

• MLflow
• Weights & Biases (W&B)
• Kubeflow
• Transformer architectures and LLM internals
• MLOps practices and model lifecycle management
• Multi-agent AI frameworks
• Cloud platforms such as AWS, Azure, or GCP
• Docker and Kubernetes
• CI/CD pipelines for AI applications

Ideal Candidate Profile

You are someone who:

• Has successfully deployed AI solutions into production environments
• Understands enterprise-scale AI architecture and design patterns
• Has practical experience with retrieval systems and vector search
• Can independently drive AI initiatives from concept to deployment
• Enjoys solving complex engineering challenges
• Demonstrates strong ownership, leadership, and mentoring capabilities
• Thrives in a fast-paced product and engineering environment

Who Should Not Apply

• Prompt-engineering-only profiles
• Candidates with only academic or research exposure
• Tutorial/demo-level GenAI practitioners
• Engineers without production deployment experience
• Professionals lacking hands-on implementation expertise

Educational Qualification

• B.E. / B.Tech in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, Data Science, or related discipline
• Master's degree is a plus

Work Location

📍 Pune, Maharashtra (Onsite)

Hiring Preference

• Immediate joiners preferred
• Candidates currently working on production AI/ML systems will be given preference

Keywords

AI Engineer, Senior AI Engineer, Machine Learning Engineer, Generative AI Engineer, LLM Engineer, RAG Engineer, LangChain, LangGraph, Vector Database, Semantic Search, Deep Learning, PyTorch, TensorFlow, XGBoost, ML Engineer, AI Architect, MLOps, Multi-Agent Systems, Production AI

Role & Responsibilities

Responsibilities

• Contribute to the development and optimization of enterprise-wide search systems and models.

• Design and implement algorithms to improve indexing, query relevance, and search accuracy.

• Support taxonomy, ontology, and metadata model creation for better search outcomes.

• Collaborate with business units (Loans, Insurance, Investments) to build AI-enabled search features.

• Conduct analysis of user behavior and system metrics to refine search performance.

• Work with engineers, product managers, and designers to deliver integrated search solutions.

• Develop production-grade ML systems for ranking, personalization, and recommendations.

• Participate in proof-of-concept initiatives with internal and external partners.

• Follow best practices in software engineering including CI/CD, testing, and monitoring.

• Keep abreast of emerging developments in AI/ML to apply them in practical solutions.

Ideal Candidate

Strong Data Scientist / AI Engineer / Machine Learning Engineer profiles.

Mandatory (Experience 1) – Must have minimum 5+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.

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

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

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.

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

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.

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

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

Mandatory (Age) - Candidate's Age should be below 30 Years

Preferred (Experience 1) – Experience with MLFlow, Kubeflow, Airflow, Prefect, Feature Stores, Model Registry, or MLOps/LLMOps frameworks.

Preferred (Experience 2) – Experience working with Vector Databases, Spark, PySpark, distributed ML pipelines, large-scale data processing, or real-time ML systems..

Preferred (Experience 3) – Familiarity with Docker, Kubernetes, Azure, AWS, GCP, cloud-native AI deployments, and scalable ML architecture.

Preferred (Company) – Candidates from AI-first startups, Fintech, Banking, Lending, Fraud Analytics, Risk Analytics, Product Companies, SaaS organizations, or data-driven technology companies.

Kindly provide the following details while sending your CV: (Mandatory details)

1) Date of Birth

2) Current Location-

3) Current CTC-

4) Expected CTC-

5) Notice Period-

6) Ready to relocate to Pune?

Regards,

The Supreme Consultancy

Website- https://lnkd.in/eawfxfxU

About NonStop io Technologies

NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.

Brief Description:

We're seeking an AI/ML Engineer to join our team. As AI/ML Engineer, you will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) solutions to solve real-world business problems. You will work closely with engineering teams, including software engineers, domain experts, and product managers, to deploy and integrate Applied AI/ML solutions into the products that are being built at NonStop io. Your role will involve researching cutting-edge algorithms and data processing techniques, and implementing scalable solutions to drive innovation and improve the overall user experience.

Responsibilities

● Applied AI/ML engineering; Building engineering solutions on top of the AI/ML tooling available in the industry today. Eg: Engineering APIs around OpenAI

● AI/ML Model Development: Design, develop, and implement machine learning models and algorithms that address specific business challenges, such as natural language processing, computer vision, recommendation systems, anomaly detection, etc.

● Data Preprocessing and Feature Engineering: Cleanse, preprocess, and transform raw data into suitable formats for training and testing AI/ML models. Perform feature engineering to extract relevant features from the data

● Model Training and Evaluation: Train and validate AI/ML models using diverse datasets to achieve optimal performance. Employ appropriate evaluation metrics to assess model accuracy, precision, recall, and other relevant metrics

● Data Visualization: Create clear and insightful data visualizations to aid in understanding data patterns, model behaviour, and performance metrics

● Deployment and Integration: Collaborate with software engineers and DevOps teams to deploy AI/ML models into production environments and integrate them into various applications and systems

● Data Security and Privacy: Ensure compliance with data privacy regulations and implement security measures to protect sensitive information used in AI/ML processes

● Continuous Learning: Stay updated with the latest advancements in AI/ML research, tools, and technologies, and apply them to improve existing models and develop novel solutions

● Documentation: Maintain detailed documentation of the AI/ML development process, including code, models, algorithms, and methodologies for easy understanding and future reference.

Qualifications & Skills

● Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, or a related field. Advanced degrees or certifications in AI/ML are a plus

● Proven experience as an AI/ML Engineer, Data Scientist, or related role, ideally with a strong portfolio of AI/ML projects

● Proficiency in programming languages commonly used for AI/ML. Preferably Python

● Familiarity with popular AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, etc.

● Familiarity with popular AI/ML Models such as GPT3, GPT4, Llama2, BERT etc.

● Strong understanding of machine learning algorithms, statistics, and data structures

● Experience with data preprocessing, data wrangling, and feature engineering

● Knowledge of deep learning architectures, neural networks, and transfer learning

● Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for scalable AI/ML deployment

● Solid understanding of software engineering principles and best practices for writing maintainable and scalable code

● Excellent analytical and problem-solving skills, with the ability to think critically and propose innovative solutions

● Effective communication skills to collaborate with cross-functional teams and present complex technical concepts to non-technical stakeholders

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

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.

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

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

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.

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

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.

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

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

About the Role

Viamagus is a fully AI-driven engineering organization.

We're hiring a Technical Architect who has built real systems, deployed them to production, and meaningfully integrated AI into their engineering practice. You'll lead architecture across all client engagements.

Must-Have: Engineering Foundation

• Bachelor's in CS/Engineering or related field (Master's preferred)
• 8+ years of software development, 3+ years in an architect/lead role
• Built systems from scratch and taken them to production - owned the full lifecycle, not just slices
• Multiple integration experiences - third-party APIs, enterprise systems (SAP, Salesforce, ERP), messaging/event buses, legacy modernization
• Built frameworks for scalability - reusable platforms, SDKs, shared libraries, and internal developer tooling adopted across teams
• Technology-agnostic strength - strong across at least one modern backend stack, one frontend framework, and one cloud platform; able to pick the right tool for the job rather than defaulting to favourite
• AWS or Azure cloud architecture - VPC design, IAM, container orchestration, cost optimization
• DevOps fluency: Docker, Jenkins/GitHub Actions, IaC (Terraform/CDK)
• Performance tuning, distributed tracing, structured logging, APM tools (Datadog, New Relic, or equivalent)
• AppSec collaboration - OWASP Top 10, VAPT remediation, secrets management, compliance (ISO/SOC 2/HIPAA exposure a plus)

Must-Have: AI-Era Awareness

You will be expected to architect systems that use AI effectively and lead engineers who do the same. Working knowledge of several of these is required:

• AI-assisted development - daily driver of Claude Code, Cursor, Copilot, or equivalent; can articulate where they help, where they fail, and how to get better outcomes from them
• LLM integration patterns - understanding of when to use OpenAI, Anthropic, Gemini, or open-source models; familiarity with API usage, streaming, function calling, structured outputs
• RAG basics — vector DBs (pgvector, Pinecone, Qdrant), embeddings, chunking, retrieval tradeoffs — enough to review and guide RAG implementations
• Agentic systems awareness — conceptual understanding of tool use, multi-step agents, and frameworks like LangGraph or CrewAI
• MCP (Model Context Protocol) — awareness of what it is and where it fits
• Prompt engineering fundamentals — versioning prompts, structured outputs, guardrails, handling hallucinations
• AI evaluation and cost awareness — how to measure quality, latency, and cost of LLM-powered features
• Curiosity and experimentation mindset — has tried things beyond ChatGPT in a browser tab

Responsibilities

Architecture & Delivery

• Design scalable, secure architectures for client engagements
• Lead technical due diligence on proposals - feasibility, effort estimation, risk flagging
• Drive production readiness: incident management, observability, release processes
• Review and approve high-impact design decisions across projects

Team & Stakeholders

• Mentor 15–20 engineers across backend, mobile, and cloud teams
• Conduct architecture reviews, code reviews, and technical retrospectives
• Engage directly with client CTOs/architects on solution design and technical escalations
• Translate business objectives into architectural decisions and vice versa

Quality, Risk, Compliance

• Enforce security-first design - threat modelling, data classification, AI-specific risks (prompt injection, PII leakage, model supply chain)
• Ensure compliance readiness for ISO 27001, SOC 2, HIPAA, where applicable
• Identify and mitigate delivery risks early; escalate with proposed mitigations

Nice to Have

• Contributions to open-source projects or AI tooling
• Experience with real-time sync (CRDTs, Realm, Ditto) or offline-first architectures
• Published technical content - blogs, talks, GitHub
• Google/AWS/Azure certifications (bonus, not substitute)

Job Title : Generalist Fullstack Engineer (Java / Node.js / React / AI-Driven Engineering)

Experience : 5 to 12 Years

Location : Bengaluru (Koramangala) – Hybrid (3 Days WFO)

Employment Model : C2H

Joining : Immediate to 20 Days Notice Only

Open Positions : 4

About the Role :

We are hiring a hands-on Generalist Fullstack Engineer for a high-impact engineering team. This is a 90% coding role focused on building scalable products across frontend, backend, cloud, and modern AI-enabled engineering practices.

Mandatory Skills :

Full Stack Development (Frontend + Backend), JavaScript / Java / Node.js / Python / Go, ReactJS or modern UI frameworks, Microservices, AWS, Docker, Kubernetes, SQL/NoSQL, CI/CD, Terraform (IaC), Automated Testing (TDD), AI-enabled software delivery, and strong hands-on coding experience.

Key Requirements :

• 5 to 12 years of software development experience.
• Strong expertise in JavaScript, Java, Node.js, Python, or Go.
• Hands-on experience with ReactJS / modern frontend frameworks.
• Strong backend depth with microservices & event-driven architecture.
• Experience with AWS, Docker, Kubernetes.
• Exposure to AI tools/frameworks in software delivery.
• Strong understanding of SQL/NoSQL databases & data modelling.
• Experience with CI/CD, automated testing, Terraform (IaC).
• Working knowledge of TDD, pair programming, continuous integration, security best practices.

Roles & Responsibilities :

• Develop and own production-grade full-stack applications.
• Build AI-first engineering workflows to improve delivery efficiency.
• Drive architecture decisions and engineering best practices.
• Deliver scalable cloud-native solutions.
• Collaborate across product, QA, design, and architecture teams.
• Improve system reliability through monitoring, automation, and testing.

Ideal Candidate :

✔ Strong end-to-end ownership (Frontend + Backend).

✔ Deep hands-on coding mindset (not people-management focused).

✔ Strong AWS + SQL exposure.

✔ Experience building and managing UI state and frontend components.

✔ Stable career progression (avoid frequent job changes).

Interview Process :

1. Technical Round – GT (Assemble)
2. Technical Round – Client
3. Technical Round – Client
4. HR Discussion & Offer