What You''ll Do

- Design and build Retrieval-Augmented Generation (RAG) pipelines
- chunking, embeddings, semantic search, and retrieval tuning for accuracy
- and grounding.
- Develop AI agents and multi-step workflows using LangChain / LangGraph,
- including tool calling and orchestration across multiple steps.
- Build and maintain backend services and REST APIs (FastAPI / Flask) that
- expose AI capabilities to internal and member-facing applications.
- Integrate and optimise usage of LLM providers (OpenAI, Anthropic, Gemini),
- balancing quality, latency, and cost.
- Work with vector databases (Pinecone, Weaviate, Chroma, FAISS, or Qdrant)
- and relational/document stores (PostgreSQL / MongoDB) for storage and
- retrieval.
- Apply robust prompt engineering practices and iterate based on evaluation
- results.
- Containerise and deploy services with Docker, and contribute to Git-based
- CI/CD workflows.
- Set up evaluation and quality checks for AI outputs, and continuously
- improve reliability and accuracy.

📌 GenAI & Agentic System Engineer (Tamil Nadu)
🏢 Mesitus
📍 Tamil Nadu