GenAI Engineer

zensar

Pune 2 Years Exp Posted 3d ago

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 strategy, state machines, fallback handling

Agentic Coding & Development

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

Client & Stakeholder Engagement

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

Team & Practice

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

Qualifications

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