Job Description

Experience Required: 5+ Years Key Responsibilities: Lead the design and development of systems leveraging Generative and Agentic AI frameworks like LangChain, Langgraph, CrewAI, AutoGPT, Autogen. Build RESTful APIs, GraphQL endpoints, and gRPC services for scalable and secure AI integrations. Architect intelligent multi-agent systems . Implement context-aware reasoning via ReAct, Chain-of-Thought (CoT), Tree-of-Thought (ToT), and Graph-of-Thought (GoT) strategies. Integrate RAG pipelines with vector databases like Weaviate, Pinecone, ChromaDB, and FAISS. Develop custom tools and toolchains, leveraging function calling, MCP, tool-use APIs, and third-party integrations (e.g., Zapier, N8N). Coordinate workflows using orchestration platforms such as Airflow, Ray, Temporal. Collaborate cross-functionally with data scientists, ML engineers, and product teams to define and deliver agent-driven applications. Show more Show less