Years: 4-10 years only

Location:
Pune,Banglore,Hyd,Cheenai

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 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 current models, frameworks, and tooling before the hype catches up
• Contribute to internal knowledge bases, reusable frameworks, and accelerators Skills Agent Orchestration LangChain, LangGraph, CrewAI
- not just conceptual Agentic Coding Tools Claude Code CLI, Cursor, OpenAI Codex, Copilot RAG & Vector Stores Chroma, Weaviate, Pinecone
- knows where RAG breaks LLM APIs & SDKs Anthropic, OpenAI, Gemini
- prompt design, tool use Python / TypeScript Primary languages for agent + backend development LangSmith / Observability Tracing, evaluation, debugging agent runs Cloud Platforms Azure, AWS, GCP (at least one)
- deployment, infra, managed services API & System Integration REST, gRPC, Kafka
- enterprise integration patterns MCP / Shared Context Model Context Protocol, CLAUDE.md, Beads Agent Evaluation Testing non-deterministic outputs, guardrails, evals CI/CD & DevOps Git, containers, pipelines
- agents need to ship Client Communication Can present architecture to a CXO without jargon

📌 Gen AI (India)
🏢 Zensar Technologies
📍 India