Description

Key Skills: Agentic AI, LangChain Development, AI/ML, Lang chain, Lang graph, Python, AWS Cloud

Roles and Responsibilities:

• Lead development of LLM-powered applications using LangChain and LangGraph, including agentic AI workflows.
• Implement RAG pipelines with vector databases and retrieval components to support accurate, grounded responses.
• Build and maintain backend services exposing LLM capabilities via FastAPI or Flask APIs.
• Integrate and manage vector stores such as Pinecone, ChromaDB, FAISS, or Weaviate for semantic search.
• Deploy, monitor, and optimize AI services on AWS while ensuring scalability and reliability.

Skills Required:

• 6 - 8 years of relevant experience in AI/ML and LLM application development
• Python for building LLM/AI services and data processing pipelines
• Ai/ml and generative ai concepts (AI/ML, machine learning, generative ai)
• Langchain and langgraph development for orchestration of LLM chains and agent workflows
• Fastapi or flask for building production apis; rag/llm integration with vector databases

Good to Have:

• Aws cloud experience for deployment and operations

Education: B.Tech, BCA, M.B.A., M. Tech, M.Sc., or MCA

Key Skills

Education

Any Graduate