Key Skills: Fast Api, Agentic AI, Gen AI, Python, Vector Database Integration, AI Artificial intelligence

Roles and 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.

Skills Required:

- 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.

Positive to Have:

- Vector databases for retrieval indexing and similarity search.
- AI agent orchestration for coordinating complex agent workflows.

Education: Bachelor's Degree in Computer Science or related field

📌 Gen AI Developer (Tamil Nadu)
🏢 Careernet
📍 Tamil Nadu