What You Must Have Actually Done
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
Bonus - Real Differentiators
• Experience with Claude Code CLI in team settings (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

What We Are Not Looking For
• 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

Responsibilities
Key Responsibilities
Delivery & Architecture
• 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

📌 Agentic Engineering Lead Pune
🏢 Zensar
📍 Pune