Description

You will build production-grade web applications and design AI-powered agents using LangChain and LangGraph.

Responsibilities

• Develop full-stack applications using React for the frontend and Python for the backend.
• Build scalable, secure, and production-ready APIs and backend services.
• Implement AI agents and intelligent workflows using LangChain and LangGraph.
• Integrate LLMs into applications, handling tool-calling, memory, and multi-step reasoning.
• Design RAG-based solutions using embeddings and vector databases.

Required Skills

• 5+ years of experience with React (modern hooks, component design, state management).
• 5+ years of experience with Python (FastAPI, Flask, or Django).
• Hands-on experience with LangChain for LLM application development.
• Hands-on experience with LangGraph for building and orchestrating AI agents.
• Experience integrating LLM APIs (OpenAI, Anthropic, etc.).
• Knowledge of RAG architectures, embeddings, and vector databases.
• Solid understanding of full-stack architecture, REST APIs, and backend development.
• Proficiency with Git, version control, and collaborative development workflows.

Key Skills

Education

Any Graduate