Gen AI

Years: 4-8 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 new 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

Work arrangement
No