Description

Develop and integrate LLM-based features for production AI applications using Python. You will build agentic AI workflows, implement RAG pipelines, and deploy production APIs.

This role is on-site.

Responsibilities

• Develop and integrate LLM-based features using Python for production AI applications.
• Build agentic AI workflows using LangChain and LangGraph, including multi-step reasoning and tool usage patterns.
• Implement RAG pipelines to retrieve relevant context and generate grounded responses.
• Design and deploy FastAPI endpoints for LLM/agent services, including request/response handling and performance considerations.
• Collaborate on evaluation and iteration of LLM outputs to improve quality, reliability, and user experience.

Required Skills

• 4-7 years of relevant experience building GenAI/LLM applications.
• Python development for building LLM and agent services.
• Agentic AI and LLMs implementation using LangChain and LangGraph.
• RAG implementation for retrieval and grounded generation.
• FastAPI for building and deploying production APIs for AI features.

Preferred Skills

• Experience with vector databases for retrieval indexing and similarity search.
• AI agent orchestration for coordinating complex agent workflows.

Key Skills

Education

Any Graduate