Description

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

This role is on-site.

Responsibilities

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

Required Skills

• 5+ years of experience in React (modern hooks, component design, state management).
• Strong proficiency in Python with frameworks like FastAPI, Flask, or Django.
• Hands-on experience with LangChain for LLM application development.
• Experience with LangGraph for orchestrating agent state, control flow, and execution.
• Proven track record integrating LLM APIs (OpenAI, Anthropic, etc.).
• Knowledge of RAG architectures, embeddings, and vector databases.
• Proficiency with Git and collaborative development workflows.
• Understanding of full-stack architecture, REST APIs, and backend development.

Preferred Skills

• Experience with testing, code reviews, and engineering best practices.
• Background in designing multi-step reasoning workflows.

Key Skills

Education

Any Graduate