50+ Artificial Intelligence (AI) Jobs in India

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.

Role Overview

The Lead Product Manager is responsible for owning product strategy, execution, and product maturity across one or more SaaS product areas. This role drives product vision, multi-quarter roadmaps, and revenue outcomes, while also playing a key role in building and scaling product practices, people, and culture.

The Lead PM works closely with Engineering, Design, Data/AI, Sales, Marketing, and Service Delivery leaders to ensure products are customer-centric, scalable, and aligned with long-term business goals.

Key Responsibilities

Product Strategy & Execution

• Define and drive product vision, strategy, and multi-quarter roadmaps aligned with business objectives.
• Identify and prioritise initiatives that drive revenue growth, adoption, retention, and expansion.
• Translate strategy into epics, features, user stories, and acceptance criteria.
• Own and continuously groom the product backlog to ensure clarity and prioritisation.
• Act as Product Owner within Agile/Scrum teams, leading sprint planning, reviews, and retrospectives.
• Track and analyse product performance metrics to guide roadmap decisions.

Organization-Building Responsibilities

• Define and refine product development processes including discovery, prioritisation, backlog management, release planning, and feedback loops.
• Help design the product career ladder, mentoring frameworks, and capability development practices.
• Participate in hiring, onboarding, and coaching Product Managers, Designers, and Product Analysts.
• Educate Sales, Services, and Delivery teams on product ways-of-working, including “no custom fork” principles.

Cross-Functional Leadership

• Work closely with Service Delivery leaders to convert repeatable client solutions into scalable product roadmap items, rather than bespoke projects.
• Partner with Marketing to develop strong product narratives and positioning for different verticals.
• Collaborate with UX, QA, and Engineering to ensure usability, quality, and scalability.
• Support major launches and go-to-market initiatives.

AI-Led Product Expectations

AQe Digital is explicitly building an AI-led product organization, and Product Managers are expected to make AI and data central to how products evolve.

The Lead Product Manager will:

• Identify and prioritize high-impact AI use cases such as prediction, recommendations, and automation.
• Partner with data scientists and ML engineers to translate models and data into reliable, user-facing features.
• Define data requirements, feedback loops, and evaluation criteria for AI capabilities.
• Track AI-specific metrics alongside traditional KPIs, including model quality, automation rates, error rates, and business impact.
• Ensure responsible AI usage, with attention to fairness, explainability, privacy, and regulatory considerations in sensitive domains.
• Raise AI literacy across teams, clearly communicating what AI can and cannot do, and using AI-driven insights to inform product and business decisions.

Candidate Requirements

Core Product Management

• 6–8 years of Product Management experience (10–15 years overall).
• Strong experience managing SaaS or B2B products.
• Proven ownership of product strategy, roadmaps, and execution.
• Deep understanding of Agile/Scrum methodologies.
• Strong experience writing epics, user stories, and acceptance criteria.

Business & Leadership Skills

• Strong understanding of revenue-driven product metrics.
• Ability to balance strategic thinking with hands-on execution.
• Experience mentoring PMs and influencing cross-functional leadership.
• Excellent stakeholder management and communication skills.

Qualifications (Preferred)

• Bachelor’s degree in Engineering, Computer Science, Business, or equivalent.
• Experience with AI-enabled or data-driven products.

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

About us

We're Inferentics, an early-stage B2B EdTech funded startup building AI-powered exam analytics infrastructure for CBSE schools across India. Our core product ingests student exam data and turns it into diagnostic insights and recommended actions for teachers, HODs, and principals.

We have a live product, real school partners, and real data. Now we're building the team that takes us to scale.

About the role

We're looking for a Senior AI Engineer who can also operate as the technical lead for our small engineering team. This is a founding-team role. You'll set the technical direction, ship features fast, and work directly with the PM and leadership on what gets built and how.

This is not a pure IC role. You'll be the senior-most engineer in the room, which means you own the architecture, mentor the team, and are the bridge between product and engineering.

Responsibilities

• Lead the engineering team: set technical direction, review code, unblock junior engineers, and create a culture of high ownership and fast shipping
• Build and own the AI pipeline: from prompt engineering and LLM integration to fine-tuning and model evaluation
• Ship product, fast: work closely with the PM to scope features, make build-vs-buy calls, and get things into production without unnecessary overhead
• Design scalable backend systems: APIs, data pipelines, OCR and document processing workflows, all built for the school-scale data volumes we're working with
• Think about scale while moving at startup speed: architecture decisions now need to hold up as we expand across hundreds of schools
• Influence the roadmap: you'll have a seat at the table on what features get prioritised and how we evolve the product

What we're looking for

• At least 5 years of software engineering experience, with at least 2 years in AI/ML engineering roles
• Hands-on experience building and shipping LLM-powered features in production: prompt engineering, RAG, fine-tuning, evaluation pipelines
• Strong Python backend skills; experience with FastAPI or similar; comfort with data-heavy workloads
• Experience in a tech lead or senior IC role: you've mentored engineers and driven technical decisions, not just executed them
• High ownership, zero-to-one mentality: you've built systems from scratch and know what good looks like at an early stage
• Comfort working directly with product and business stakeholders, not just engineering

Good to have

• Experience at an AI-first company or EdTech product where AI is the core. 
• Worked on OCR, document processing, or exam/assessment data pipelines
• Frontend exposure (React / TypeScript) — we're a small team and full-stack flexibility helps

Why choose us

• You'll be the technical anchor of a founding-stage team.
• You'll have direct influence on model strategy and product roadmap, not just implementation
• Small team means no bureaucracy, no waiting for approvals, no committees
• We believe in compensating for what good talent deserves.

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

About MyOperator

MyOperator is a Business AI Operator, a category-leader that unifies WhatsApp, Calls, and AI-powered chat & voice bots into one intelligent business communication platform. Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single, no-code platform. Trusted by 12,000+ brands including Amazon, Domino's, Apollo, and Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement — without fragmented tools or increased headcount

Role Summary

We’re hiring a Front Deployed Engineer (FDE)—a customer-facing, field-deployed engineer who owns the end-to-end delivery of AI bots/agents.

This role is “frontline”: you’ll work directly with customers (often onsite), translate business reality into bot workflows, do prompt engineering + knowledge grounding, ship deployments, and iterate until it works reliably in production.

Think: solutions engineer + implementation engineer + prompt engineer, with a strong bias for execution.

Responsibilities

Requirement Discovery & Stakeholder Interaction

• Join customer calls alongside Sales and Revenue teams.
• Ask targeted questions to understand business objectives, user journeys, automation expectations, and edge cases.
• Identify data sources (CRM, APIs, Excel, SharePoint, etc.) required for the solution.
• Act as the AI subject-matter expert during client discussions.

Use Case & Solution Documentation

• Convert discussions into clear, structured use case documents, including:
• Problem statement & goals.
• Current vs. proposed conversational flows.
• Chatbot conversation logic, integrations, and dependencies.
• Assumptions, limitations, and success criteria.

Customer Delivery Ownership

Own deployment of AI bots for customer use-cases (lead qualification, support, booking, etc.). Run workshops to capture processes, FAQs, edge cases, and success metrics. Drive the go-live process: requirements through monitoring and improvement.

Prompt Engineering & Conversation Design

Craft prompts, tool instructions, guardrails, fallbacks, and escalation policies for stable behavior. Build structured conversational flows: intents, entities, routing, handoff, and compliant responses. Create reusable prompt patterns and "prompt packs."

Testing, Debugging & Iteration

Analyze logs to find failure modes (misclassification, hallucination, poor handling). Create test sets ("golden conversations"), run regressions, and measure improvements. Coordinate with Product/Engineering for platform needs.

Integrations & Technical Coordination

Integrate bots with APIs/webhooks (CRM, ticketing, internal tools) to complete workflows. Troubleshoot production issues and coordinate fixes/root-cause analysis.

What Success Looks Like

• Customer bots go live quickly and show high containment + high task completion with low escalation.
• You can diagnose failures from transcripts/logs and fix them with prompt/workflow/knowledge changes.
• Customers trust you as the “AI delivery owner”—clear communication, realistic timelines, crisp execution.

Requirements (Must Have)

• 2–5 years in customer-facing delivery roles: implementation, solutions engineering, customer success engineering, or similar.
• Hands-on comfort with LLMs and prompt engineering (structured outputs, guardrails, tool use, iteration).
• Strong communication: workshops, requirement capture, crisp documentation, stakeholder management.
• Technical fluency: APIs/webhooks concepts, JSON, debugging logs, basic integration troubleshooting.
• Willingness to be front deployed (customer calls/visits as needed).

Good to Have (Nice to Have)

• Experience with chatbots/voicebots, IVR, WhatsApp automation, conversational AI platforms with at least a couple of projects. 
• Understanding of metrics like containment, resolution rate, response latency, CSAT drivers.
• Prior SaaS onboarding/delivery experience in mid-market or enterprises.

Working Style & Traits We Value

• High agency: you don’t wait for perfect specs—you create clarity and ship.
• Customer empathy + engineering discipline.
• Strong bias for iteration: deploy → learn → improve.
• Calm under ambiguity (real customer environments are chaotic by default).

Amura’s Vision 

We believe that the most under-appreciated route to releasing untapped human potential is to build a healthier body, and through which a better brain. This allows us to do more of everything that is important to each one of us.

Billions of healthier brains, sitting in healthier bodies, can take up more complex problems that defy solutions today, including many existential threats, and solve them in just a few decades.

Billions of healthier brains will make the world richer beyond what we can imagine today. The surplus wealth, combined with better human capabilities, will lead us to a new renaissance, giving us a richer and more beautiful culture.

These healthier brains will be equipped with deeper intellect, be less acrimonious, more magnanimous, and have a kinder outlook on the world, resulting in a world that is better than any previous time.

We find this vision of the future exhilarating. Our hopes and dreams are to create this future as quickly as possible and ensure that it is widely distributed and optimized to maximize all forms of human excellence. 

Role Overview 

We are looking for a highly skilled Senior DevOps Engineer (AI-Native Infrastructure & Platform Engineering) with deep expertise in AWS cloud infrastructure, automation, AI infrastructure operations, and modern DevOps/SRE practices.

This role goes beyond traditional DevOps and requires a seasoned specialist capable of building and operating AI-ready infrastructure platforms that support high-throughput APIs, LLM/AI workloads, GPU-based compute, data-intensive systems, real-time inference pipelines, and scalable ML platforms.

You will be responsible for architecting, automating, securing, and optimizing highly scalable and cost-efficient cloud environments that enable high-velocity engineering and AI teams. This is an ideal position for someone who combines technical ownership, an automation-first mindset, and a passion for developer productivity and platform reliability. 

Key Responsibilities 

Cloud Infrastructure & Platform Engineering (AWS) 

• Architect, deploy, and manage highly scalable and secure infrastructure on AWS. Design cloud platforms supporting AI/ML workloads, data pipelines, real-time APIs, and high-concurrency backend systems.
• Hands-on expertise with key AWS services including EC2, ECS/EKS, Lambda, RDS, DynamoDB, S3, VPC, CloudFront, IAM, CloudWatch, and GPU-enabled instances.
• Build and maintain Infrastructure-as-Code (IaC) using Terraform, CloudFormation, or AWS CDK.
• Design multi-AZ and multi-region architectures for high availability and disaster recovery (HA/DR).
• Build reusable platform templates and shared infrastructure modules. 

AI/ML Infrastructure & MLOps 

• Build and maintain infrastructure for LLM applications, AI inference workloads, model serving platforms, vector databases, and feature stores.
• Support GPU-based workloads and optimize compute/storage usage.
• Enable scalable deployment patterns for AI applications using Kubernetes/EKS. Collaborate with Data Science and ML Engineering teams on model deployment, training/tuning of models, CI/CD for ML systems, experiment environments, and reproducibility.
• Support orchestration and deployment of AI workflows and inference services while implementing observability and reliability for AI pipelines. 

CI/CD, Automation & Developer Productivity 

• Build and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline.
• Automate deployments, environment provisioning, and release workflows.
• Build self-service developer platforms, preview environments, and reusable deployment workflows to improve developer productivity.
• Implement automated patching, scaling, backups, cleanup workflows, and drift detection. 

Containers, Kubernetes & Platform Reliability

• Manage Docker-based environments, containerized applications, and optimize workloads using Kubernetes (EKS) or ECS/Fargate.
• Manage autoscaling, cluster health, node pools, ingress, service mesh, and workload isolation.
• Optimize infrastructure for performance, resilience, and cost-efficiency.
• Implement progressive deployment strategies including blue/green, canary, and rolling deployments. 

Observability, Incident Response & SRE Practices

• Implement observability stacks using CloudWatch, Prometheus, Grafana, ELK, Datadog, OpenTelemetry, or New Relic.
• Build actionable dashboards and intelligent alerting systems while defining and tracking SLIs, SLOs, and SLAs.
• Lead incident response, root cause analysis, and blameless postmortems to reduce operational toil and improve MTTR.

FinOps, Cost Governance & Security

• Continuously monitor and optimize cloud costs (compute utilization, storage lifecycle, GPU usage, and data transfer) using AWS Cost Explorer, Budgets, Trusted Advisor, CloudHealth, or Kubecost.
• Implement AWS security best practices for IAM, VPCs, security groups, NACLs, encryption, and manage secrets using KMS, SSM Parameter Store, or Vault.
• Build secure CI/CD pipelines with automated security checks, least-privilege access, audit logging, and ensure compliance readiness for ISO 27001, SOC2, and GDPR.

Collaboration, Leadership & Platform Culture

• Work closely with engineering, AI/ML, QA, product, and operations teams to drive a DevOps, SRE, GitOps, and automation-first culture.
• Mentor junior DevOps and Platform Engineers while creating and maintaining detailed runbooks, architecture diagrams, and platform documentation.

Skills & Qualifications

Must-Have:

• 7+ years of experience in DevOps, SRE, Platform Engineering, or Cloud Infrastructure Engineering.
• Strong expertise in AWS cloud architecture, services, and deep understanding of Kubernetes (EKS), containers, and cloud-native systems.
• Strong Infrastructure-as-Code expertise using Terraform, CloudFormation, or CDK. Strong Linux administration, networking, DNS, routing, and load balancing knowledge. Strong scripting/programming experience in Python, Bash, or Go (preferred). Experience with CI/CD automation, GitOps workflows, and observability platforms supporting scalable production systems.

Preferred / Nice-to-Have:

• Experience with AI/ML infrastructure, MLOps, model serving, vector databases, GPU orchestration, and inference optimization.
• Familiarity with Kafka, Redis, SQS, and event-driven systems.
• Exposure to platform engineering, internal developer platforms, and tools like ArgoCD, Flux, Helm, and OpenTelemetry.
• AWS Certifications: Solutions Architect, DevOps Engineer, or SysOps Administrator. Knowledge of distributed systems and large-scale platform operations. 

Preferred / Nice-to-Have:

• Experience with AI/ML infrastructure, MLOps, model serving, vector databases, GPU orchestration, and inference optimization.
• Familiarity with Kafka, Redis, SQS, and event-driven systems.
• Exposure to platform engineering, internal developer platforms, and tools like ArgoCD, Flux, Helm, and OpenTelemetry.
• AWS Certifications: Solutions Architect, DevOps Engineer, or SysOps Administrator. Knowledge of distributed systems and large-scale platform operations. 

Here are answers to some questions you may have

Where is your office?

Chennai (Velachery)

Work Model

Work from Office – because great stories are built in person!

Do you have an online presence?

https://amura.ai (we are @AmuraHealth on all social media)

What We Do

FlytBase builds the world's leading Physical AI drone autonomy platform, powering mission-critical operations across 300+ enterprise sites in 40+ countries. Its customers include Fortune 500 leaders such as Shell, CSX, UK Police, Airbus, Anglo American, Dole and Statnett. Explore some of our key deployments here - flytbase.com/case-studies.

With a presence in the US and Pune, India, FlytBase is building the nervous system for large industrial sites. The company operates at AI speed, with autonomy and intelligence at its core. Our lean team thrives in a high-agency, high-velocity environment where AI is not a side project, it is the operating system for how we think, build, and grow.

The Role

You're not just booking meetings—you're the first commercial touchpoint for Fortune 500 prospects making their first investment in autonomous site intelligence. You'll qualify inbound leads, run outbound campaigns, and here's the key difference: you'll close deals yourself when they don't need Senior AE involvement.

This is Physical AI sales—autonomous drones that inspect energy sites, mines, and infrastructure 24/7—and you're educating executives who are defining how they think about the category. You'll work across Americas, Europe, and MEAA time zones from our Pune office, using AI tools to make 200 outbound touches feel like 200 handwritten notes.

Top performers own their own region within 12–18 months. We expect you to get there.

What You'll Own

• Pipeline generation: Qualify every inbound lead from website, events, partner referrals—you decide what's real and what's noise

• Outbound prospecting: Target named accounts via email, phone, LinkedIn with focus on competitive displacement and whitespace expansion

• Deal closure: Own and close deals end-to-end when they don't require Senior AE involvement—discovery, demo coordination, proposal, signature

• Marketing partnership: Work with demand gen on campaigns, target lists, event follow-up, and messaging that converts

• Quality handoffs: When routing larger opportunities, deliver buyer context, timeline, budget signals, decision process intel

• Market intelligence: Feed real-time insights on objections, competitor sightings, messaging performance back to product and positioning teams

• AI-powered workflows: Use prospect research, signal detection, and personalized outreach automation to scale your impact

• Regional alignment: Cover your assigned geography's working hours while based in Pune

Best Suited For

• 1–3 years in inside sales, SDR, or early closing roles in B2B SaaS or technical products—you've closed deals yourself, not just qualified them • Strong written and verbal English with ability to hold technical conversations past the first objection

• Experience with outbound tools: Apollo, Clay, LinkedIn Sales Navigator, email sequencing platforms—you can build target lists and run campaigns

• AI-native approach: Already using AI for prospect research, sequence personalization, workflow automation as daily operating system

• Metrics-driven mindset: Comfortable with quota, pipeline targets, conversion tracking—you optimize for outcomes, not activities

• Coachable and relentless: You take feedback, iterate quickly, and don't need scripts to make calls

• Hungry for growth: You see this as a launchpad to owning a region and carrying enterprise quota within 18 months

What Makes You a Flyter

• Ownership without handoffs: You don't just book meetings—you close deals and own outcomes from first touch to signature

• Quality over quantity: You'd rather send 50 researched, personalized outreaches than 500 generic templates

• AI as operating system: You use AI tools to scale personalization, not to automate away the human connection

• Market curiosity: You're genuinely interested in how Fortune 500 companies think about autonomous site operations—it's not just another product to sell

• Growth hungry: You see BDR as a stepping stone, not a destination—you want to own territory and build your own pipeline machine

What We Don't Want

• Meeting bookers who optimize for quantity over quality—if you measure success by dials made rather than pipeline created, this isn't for you • Script-dependent reps who can't hold technical conversations or handle objections without calling for backup

• "That's not my job" mindset—we expect you to own pipeline, close deals, and shape GTM strategy, not just execute tasks

• People treating AI as a novelty rather than a core workflow tool—you should already be using it daily, not learning it here

• Reps who want to set meetings and disappear—you'll own deals through close and feed market intelligence back to the team

Why FlytBase?

• H3 Philosophy: We're building a company that's Happy, Healthy, AND High-Performing. Not as a balance—as a harmony. We move fast without burning out.

• Radical Ownership: You won't need permission to experiment, build, or lead. If you see a problem, you own the solution.

• Mazaa Aayega: Our internal motto. Yes, the work is intense. But it's also deeply meaningful and genuinely fun.

• Systems That Scale: We don't celebrate one-off heroics. We build compounding systems that create leverage.

• In-Person Energy: We work from our Pune office because proximity accelerates everything—ideas, feedback, trust, and impact, but travel globally for customer meetings, tradeshows, and deployments.

The Perks

• High agency team and sense of purpose

• International Travel—we travel to all 6 continents (sorry, no business in Antarctica yet)

• Thought leadership & public speaking opportunities at online & physical events

• No-cap budget for AI tools, courses, or experiments

• Latest tech stack and tools—whatever helps you move faster

• Family Day—Once a year, we transform our office to showcase our work to the people who matter most

• Top-tier health coverage for you • Unlimited leave policy & flexible working hours (no punch-in/out)

• A damn good team to work with

The Product Manager will play a pivotal role in shaping and executing strategic initiatives and product innovations and development within the CarTrade Tech Labs . This position requires an entrepreneurial mindset, a passion for emerging technologies, and the ability to drive ideas from conception to implementation by working together with various stakeholders including engineering, marketing, sales and external customers. The role will rely deeply on leveraging Artificial Intelligence (AI) and Generative AI capabilities to unlock new product opportunities and features, improve decision-making, and drive innovation-led growth.

Job Location- Mumbai

Mode of work - Work from office

Key Responsibilities

● Be a part of the product development life cycle for certain defined products.

● Conduct comprehensive market analysis, competitive benchmarking, and user research to inform product strategy.

● Develop and clearly communicate product roadmaps, strategic objectives, and growth opportunities.

● Collaborate closely with technical, design, and business teams to build, test, and launch new products and services.

● Identify and nurture strategic partnerships and alliances to accelerate innovation and enhance market positioning.

● Define and track success metrics, analyze performance data, and adapt strategies based on data-driven insights.

● Champion a culture of experimentation, agile execution, and continuous learning within the Lab.

● Identify opportunities to integrate AI/ML and Generative AI solutions into products, workflows, and strategic initiatives.

● Work with engineering and data teams to conceptualize, evaluate, and scale AI-driven product features and automation use cases.

● Stay updated on emerging AI trends, LLM ecosystems, and applied AI innovations to inform product strategy and competitive positioning.

● Drive experimentation using AI-enabled tools for user insights, personalization, automation, and operational efficiency.

Qualifications

● Post graduate degree in Business, Engineering, Computer Science, or related fields.

● 3+ years of experience either in Product Management .

● Strong analytical skills and familiarity with market research methodologies.

● Exceptional communication and stakeholder management skills, with the ability to influence cross-functional teams.

● Passion for technology trends and familiarity with agile product development methodologies.

● Hands-on Experience in product management is required.

● Exposure to AI/ML, Generative AI, or data-driven product initiatives, either through product development, strategy projects, or experimentation.

● Understanding of AI product lifecycle concepts such as model evaluation, experimentation, data feedback loops, or AI-enabled user experiences is a strong plus.

● Familiarity with AI tools, LLM-based applications, analytics platforms, or AI-assisted decision-making frameworks will be advantageous.

We are looking for a highly skilled and experienced Senior AIOps / MLOps Engineer with strong expertise in Azure Cloud, automation, platform engineering, CI/CD, observability, and enterprise-scale cloud operations.

The ideal candidate should have hands-on experience in designing, implementing, and managing modern cloud-native platforms with focus on AI/ML operationalization, DevOps automation, monitoring, reliability, and infrastructure modernization.

Required Experience

• 6 – 10 Years of overall IT experience
• Strong experience in AIOps / MLOps / DevOps engineering
• Hands-on enterprise experience in Azure Cloud platform engineering

Key Responsibilities

AIOps / MLOps

• Design and implement scalable enterprise-grade AIOps and MLOps platforms across cloud environments.
• Ensure AI platform reliability, governance, security, and model performance optimization.
• Implement LLM/AI model versioning, experiment tracking, drift detection, observability, and operational health monitoring frameworks.
• Collaborate with Data Science, DevOps, Cloud, and Application teams to accelerate AI/ML adoption and platform modernization.
• Develop automation frameworks for AI/ML pipelines, infrastructure provisioning, and operational workflows.
• Lead continuous improvement, automation, and standardization efforts across AI/ML operational ecosystems
• Mentor engineering teams and promote AIOps/MLOps best practices, innovation, and engineering excellence
• Strong Knowledge on embeddings, tokenization, vector databases, and AI/ML model training concepts

Preferred Skills

• Python, MLflow, Model Registry, Experiment Tracking
• Azure DevOps & Azure Cloud
• Azure Machine Learning
• LLMOps / Generative AI operationalization
• AI model deployment and lifecycle management
• AI Gateway and Model Serving architectures
• Azure OpenAI & Azure AI Foundry
• MCP Server implementation and configuration  
• CI/CD Automation & AKS

Soft Skills

• Strong communication and stakeholder management
• Good troubleshooting and problem-solving skills
• Ability to work independently and drive ownership
• Strong collaboration and documentation skills

Senior Software Engineer

• Minimum 5 years in typescript and Total of minimum 8 Years of experience
• Excellent communication skills. English Language fluency is Mandatory.

We are looking for strong backend senior engineers

• 8+ years experience as Senior Software Engineer
• Have worked in medium- to big-sized companies for at least 3 years ( companies with 50+ developers)
• Strong architecture and planning skills
• Strong AI coding skills (being fluent in developing agents and skills) and using them in their development routines
• Distributed programming knowledge
• Typescript, Postgres & Kubernetes knowledge.

Ways of working

The engineers will be lead/managed by a UK Multinational company engineer manager (initially one currently based in Europe), and we are going to work on hiring one in Asia if we succeed in putting the team together

Engineers will have a direct contract with UK Multinational Company as career employees (entitled to company benefits and career progression) and will be trained in the UK Multinational Company product portfolio and work on several different projects.

We work in an environment where each engineer is presented with a business problem (or user story) and must come up with a detailed plan on how to tackle it (and explain and get approval from the team), which we do during the refinement meetings. In summary, we do not tell the engineers what to do, our expectation from a Senior engineer is that he tells us what to do (he will be trained, of course, in the best practices and technical specs of our environment).

Hiring process

• Hiring manager interview
• System Design interview
• Coding (with AI) interview

About VerbaFlo.ai 

VerbaFlo.ai is a fast-growing AI SaaS startup revolutionizing how businesses leverage AI-powered solutions. As a part of our dynamic team, you’ll work alongside industry leaders and visionaries to drive innovation and execution across multiple functions.

Role Overview 

We are looking for an Engineering Manager to design and develop user-friendly, scalable, and high-performance web applications. This role requires deep expertise in backend technologies, attention to detail, and the ability to collaborate with cross-functional teams.

Job Type: Onsite [Mon - Fri]

Shift Timings: 12 pm to 8 pm IST

Responsibilities 

• Design, develop, and maintain scalable backend systems, APIs, and data pipelines.
• Collaborate closely with frontend engineers, product managers, and AI teams to deliver cohesive features and seamless user experiences.
• Ensure the reliability, security, and performance of backend systems.
• Write clean, maintainable, and efficient code using modern backend practices.
• Implement automated testing, CI/CD workflows, and infrastructure as code (where applicable).
• Own the end-to-end lifecycle of backend features, from architecture to deployment.
• Monitor production systems and resolve performance and scalability issues.
• Contribute to architectural decisions and help evolve our engineering best practices.
• Lead and define backend architecture decisions, ensuring systems are built for long-term scalability and maintainability.
• Mentor and guide junior and mid-level engineers through code reviews, technical discussions, and design feedback.
• Act as a technical anchor for cross-functional initiatives, translating ambiguous product requirements into clear engineering plans.

Requirements 

• 7-11 years of overall experience in backend development [Required]. 
• 1-2+ years of experience working as an Engineering Manager [Required].
• 2-4 years of experience working in a startup [Seed/Series A or B] [Required]
• Proficiency in Node.js, Python, or Go.
• Deep understanding of RESTful API design.
• Strong experience with databases: PostgreSQL, MongoDB, ElasticSearch.
• Exposure to message queues, job schedulers, or event-driven architectures (e.g., SQS, Celery, etc).
• Familiarity with cloud platforms like AWS, GCP, or Azure and containerization tools (Docker, Kubernetes).
• Experience with Git, CI/CD tools, and writing unit/integration tests.
• Strong problem-solving skills and a mindset geared toward performance and security.
• Excellent communication and collaboration abilities.

Why Join Us?

• Work directly with top leadership in a high-impact role.
• Be part of an innovative and fast-growing AI startup.
• Perks & Benefits: gym membership benefit, workation policy, and company-sponsored lunch.
• Opportunity to take ownership of key projects and drive efficiency.
• A collaborative, ambitious, and fast-paced work environment.

If you’re looking for an exciting role that combines strategy, execution, and leadership exposure, we’d love to hear from you!

How do Technogisers function?

Value: Exploring technologies and implementing them on the projects provided they make business sense and deliver value.

Engagement: Be it offshore or onshore, we engage ourselves daily with the clients. This assists in building a trustworthy relationship at the same time, collaborating to come up with strategic solutions to business problems.

Solution: We are involved in providing hands-on contributions towards Backend & Front-end design and development at the same time, flourishing our DevOps culture.

Thought Leadership: Attend or present technical meet-ups/workshops/conferences to share knowledge and help build Technogise brand.

Note: All our roles are customer-facing roles.

This is a full-time 5 days work from office role as a Technology Consultant (Lead) located in Bangalore (Indiranagar).

Core Skills:

• Strong system design and architecture expertise.
• Production-level experience with React (TypeScript) and Python (FastAPI) — able to own a feature end-to-end
• Familiarity with Classic ASP and .NET for maintaining and migrating legacy applications
• Solid AWS fundamentals: EKS, RDS, Lambda, IAM, S3, CloudFront, and VPC networking
• ⁠Kubernetes and Docker fluency; comfortable reading and writing deployment YAMLs
• Experience with OpenResty or Nginx-based reverse proxy and API gateway configuration
• Familiarity with security practices: OAuth2, Okta, parameterized queries, secrets management (Doppler or equivalent), and static analysis tooling
• Strong written communication — able to produce RFCs, runbooks, and architectural decision records
• ⁠Experience with Redis, Celery, or similar caching and task queue systems is a plus
• Exposure to product analytics SDKs (Amplitude or equivalent) is a plus
• Experience with MSSQL and SQL Server in a production environment is a plus
• Prior experience in a VC, PE, or fintech engineering context is advantageous but not required

Going beyond:

• Establish credibility within the team as a result of technical and leadership skills
• Mentoring fellow team members within the project team and providing technical guidance to others beyond project boundaries
• Actively participate in organisational initiatives

Key Responsibilities

Core Engineering & Testing

• Design and implement scalable, maintainable automation frameworks for API and backend systems.
• Own end-to-end test strategy across functional, system, and integration layers.
• Build robust API automation suites using Java (Rest Assured/Karate) and modern tooling.
• Collaborate closely with developers, product managers, and DevOps teams in an agile environment to ensure high-quality releases.
• Design and validate AI-generated test cases for APIs, including authentication flows, request chaining, and error handling.
• Build and maintain QA agentic systems capable of:
• Auto-generating test cases from requirements
• Detecting coverage gaps across services
• Suggesting missing edge cases and negative scenarios
• Test AI-based applications (LLMs, copilots, intelligent services) for correctness, hallucination risks, and robustness across edge cases.
• Define testing strategies for non-deterministic systems, including:
• Prompt evaluation frameworks
• Response validation heuristics
• Dataset-driven testing

Quality Intelligence & Platform Thinking

• Build tools that provide real-time visibility into test coverage, risk areas, and defect patterns.
• Leverage AI/ML techniques for:
• Defect clustering and root cause analysis
• Test optimization and prioritization
• Contribute to internal QA platforms such as API coverage mapping and intelligent test generation systems.

Mandatory Skills & Requirements

• 5–8 years of experience in API testing and automation.
• Strong programming skills in Java (preferred) or Python/Golang.
• Hands-on experience with API automation frameworks such as Rest Assured, Karate, or similar tools.
• Strong understanding of REST APIs, microservices architecture, request/response validation, and authentication flows.
• Experience in test planning, strategy, and execution across multiple system layers.
• Ability to analyze logs, debug failures, and collaborate with stakeholders for issue resolution.
• Practical exposure to AI tools for test generation, with the ability to refine and productionize outputs.
• Minimum 1 year of hands-on experience in AI projects involving RAG Models, Multi-Agent Systems, or Generative AI is mandatory.
• Candidates should currently be working with Product-based companies only.