Description

Design and build scalable Generative AI systems, including LLM-based applications and multi-agent workflows.

This role is on-site.

Responsibilities

• Develop Generative AI applications using Python, LangChain, and LangGraph.
• Orchestrate stateful AI workflows and multi-agent systems.
• Implement Retrieval-Augmented Generation (RAG) pipelines with vector databases.
• Build and deploy backend services and APIs using FastAPI.
• Optimize AI workflows for performance and integrate with enterprise systems.

Required Skills

• 6+ years of software engineering experience with 2–3 years in AI/LLM development.
• Strong proficiency in Python (3.x).
• Hands-on experience with LangChain and LangGraph.
• Experience building RAG pipelines and working with vector databases (Pinecone, FAISS, Weaviate).
• Deep understanding of Large Language Models (LLMs) and Generative AI.
• Strong backend experience with FastAPI and REST APIs.
• Familiarity with cloud platforms (AWS, Azure, or GCP).

Preferred Skills

• Experience with React.js for frontend integration.
• Background in deploying production-ready AI solutions.

Key Skills

Education

Any Graduate