Description

You will architect and build LLM-driven applications, AI agents, and RAG-based systems.

This role is on-site.

Responsibilities

• Architect and develop LLM-driven applications and AI agents.
• Build and maintain backend services using FastAPI or Flask.
• Implement Retrieval-Augmented Generation (RAG), embedding pipelines, and grounding techniques.
• Deploy AI services using Docker and manage CI/CD pipelines for AI components.

Required Skills

• 10+ years of experience in Python backend development.
• Strong proficiency in FastAPI or Flask.
• Hands-on expertise with vector databases: Redis, Postgres/pgvector, Elasticsearch, or Neo4j.
• Strong working knowledge of SQL databases (Postgres, MySQL, etc.).
• Practical experience with FAISS for similarity search.
• Hands-on experience with modern LLM frameworks (LangChain, LangGraph, etc.).
• Experience with Docker and container orchestration.

Preferred Skills

• Familiarity with AI/ML practices and deployment.

Key Skills

Education

Bachelor's or Master's degrees