Agentic Engineering Lead
Zensar Technologies
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Job summary
Zensar Technologies is seeking an AI systems lead based in Maharashtra, India to own end-to-end delivery of AI-native programs. You will design multi-agent orchestration using LangChain, LangGraph, and CrewAI, and integrate with enterprise APIs and data platforms.
The role emphasizes hands-on coding workflows with Claude Code, Cursor, and OpenAI Codex, plus leading projects where AI writes substantial portions of the codebase. Strong stakeholder engagement is essential.
Qualifications
- Experience designing and delivering AI-native programs with end-to-end ownership.
- Hands-on in building multi-agent orchestration systems.
- Ability to orchestrate with LangChain, LangGraph, and CrewAI.
- Experience evaluating and debugging non-deterministic AI outputs.
Responsibilities
- Own end-to-end delivery of AI-native programs from architecture to production deployment.
- Design and build multi-agent orchestration systems using LangChain, LangGraph, CrewAI, or equivalents.
- Integrate agent systems with enterprise surfaces: APIs, ERPs, CRMs, data platforms.
- Define agent topology: tool routing, memory strategy, state machines, fallback handling.
- Run agentic coding workflows using Claude Code, Cursor, OpenAI Codex, or equivalents.
- Lead projects where AI writes significant portions of the codebase and guide reviews.
Skills
Tools
Job description
Not just what you know. What you have shipped.
- Deployed 2–3 agent-based systems in production - stateful, multi-step, real users
- Used LangGraph for multi-agent orchestration with memory, tool routing, and state management
- Built projects where AI (Claude Code, Codex, Cursor) wrote significant portions of the code
- Implemented RAG pipelines end-to-end - chunking, embedding, retrieval, re-ranking, evaluation
- Integrated agents with real enterprise APIs - not just OpenAI playground or sample data
- Debugged a production agent failure - and fixed it without blaming the model
- Can articulate when NOT to use agents - that is how we know you have built things
Not just what you know. What you have shipped.
- Deployed 2–3 agent-based systems in production - stateful, multi-step, real users
- Used LangGraph for multi-agent orchestration with memory, tool routing, and state management
- Built projects where AI (Claude Code, Codex, Cursor) wrote significant portions of the code
- Implemented RAG pipelines end-to-end - chunking, embedding, retrieval, re-ranking, evaluation
- Integrated agents with real enterprise APIs - not just OpenAI playground or sample data
- Debugged a production agent failure - and fixed it without blaming the model
- Can articulate when NOT to use agents - that is how we know you have built things
- Experience with Claude Code CLI in team environments (CLAUDE.md, shared context, multi-session flows)
- Familiarity with LangSmith for agent tracing, evaluation pipelines, and debugging at scale
- Has shipped something using MCP (Model Context Protocol) or similar shared-context tooling
- QA/testing mindset for agents - systematic evaluation of non-deterministic outputs
- Background in IT services or consulting - managing client expectations while building
- Experience with SLMs, fine-tuning, or on-device/edge agent deployment
- Someone who lists LLMs on a resume but has only called the API in a Jupyter notebook
- AI enthusiasts whose hands-on experience is less than a year old
- People who explain everything in terms of frameworks they have never deployed
- Consultants who can only narrate what others have built
- Own end-to-end delivery of AI-native programs - from architecture through production deployment
- Design and build multi-agent orchestration systems using LangChain, LangGraph, CrewAI, or equivalent
- Integrate agent systems with enterprise surfaces: APIs, ERPs, CRMs, data platforms - not toy datasets
- Define agent topology: tool routing, memory strategy, state machines, fallback handling
- Run agentic coding workflows using Claude Code, Cursor, OpenAI Codex, or equivalent CLI tools
- Lead projects where AI writes significant portions of the codebase - and you guide, review, and ship it
- Work with CLAUDE.md, shared context frameworks, and multi-session agent setups for team use
- Debug non-deterministic agent outputs systematically - not by gut feel
- Translate business problems into agent architectures for global CXO-level stakeholders
- Run discovery workshops, solution reviews, and delivery cadences with client teams
- Prepare and present technical proposals, POC plans, and roadmaps - own the story end-to-end
- Mentor junior AI engineers; raise AI engineering quality across the delivery team
- Stay current: evaluate new models, frameworks, and tooling before the hype catches up
- Contribute to internal knowledge bases, reusable frameworks, and accelerators
- LangChain, LangGraph, CrewAI - not just conceptual
- Claude Code CLI, Cursor, OpenAI Codex, Copilot
- Chroma, Weaviate, Pinecone - knows where RAG breaks
- Anthropic, OpenAI, Gemini - prompt design, tool use
- Primary languages for agent + backend development
- Tracing, evaluation, debugging agent runs
- Azure, AWS, GCP (at least one) - deployment, infra, managed services
- REST, gRPC, Kafka - enterprise integration patterns
- Model Context Protocol, CLAUDE.md, Beads
- Testing non-deterministic outputs, guardrails, evals
- Git, containers, pipelines - agents need to ship
- Can present architecture to a CXO without jargon
Expect to walk through something you have actually built - architecture decisions, what broke in production, what you would do differently. If you cannot do that with specifics, this role is not the right fit.
- Stage 1 - Technical screen: Walk us through a live agent system you built
- Stage 2 - Architecture discussion: Given a business problem, design an agent solution on the spot
- Stage 3 - Stakeholder simulation: Present your approach to a non-technical executive audience
At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: “Together, we shape experiences for better futures”. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is “ONE with Client” - a set of four core values that reflect who we are and how we work: “One Zensar, Nurturing, Empowering, and Client Focus”.
Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.
We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.
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