Description

You will design and architect scalable, maintainable AI solutions integrating LangChain, LangGraph, and RAG methodologies.

This role is on-site.

Responsibilities

• Lead development using Python to prototype and productionize AI agents and workflows.
• Collaborate with data engineering and DevOps teams on data pipelines and model deployment.
• Develop and optimize RAG systems combining vector search, knowledge graphs, and LLMs.
• Architect agentic AI systems that perform autonomous tasks by chaining actions and integrating APIs.

Required Skills

• 10+ years of experience in relevant engineering roles.
• Strong proficiency in Python for backend or AI service development.
• Hands-on experience with LangChain and/or LangGraph frameworks.
• Deep understanding of Retrieval-Augmented Generation (RAG) systems.
• Experience designing agentic AI architectures or multi-agent systems.
• Familiarity with knowledge graphs, vector search engines, and LLM integration.
• Solid understanding of NLP concepts, transformer models, and prompt engineering.
• Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes).

Key Skills

Education

Any Gradute