We are hiring for multiple Agentic AI roles for our client - from applied engineering to architecture and research. The role involves building and scaling autonomous, reasoning-driven AI agents and multi-agent systems for production.

Key Responsibilities:

• Design, build and deploy autonomous AI agents with tool-calling, planning, reasoning and memory
• Build multi-agent orchestration and workflows using LangGraph, CrewAI, AutoGen, LangChain
• Implement RAG, long-term / short-term memory, and knowledge graphs
• Develop scalable APIs and backend services for agent deployment
• Research and apply advanced techniques in LLM reasoning, planning algorithms, RL and multi-agent collaboration to take ideas from paper to prod
• Architect enterprise-grade, event-driven, scalable agentic platforms
• Define evals, observability and cost optimization for agent systems

Must-Have Skills:
Python, LLMs, LangChain, LangGraph / CrewAI / AutoGen, RAG, Prompt Engineering, Tool-Calling, ReAct, Planning & Reasoning, RL, Vector DBs (Pinecone / Weaviate), FastAPI, System Design, MLOps

Qualification: B.Tech / M.Tech / MS / PhD in CS, AI or related field with proven work in GenAI / Agentic AI.

Preferred Skills:
Fine-tuning, Knowledge Graphs, Temporal, Kubernetes, Distributed Systems