Key Responsibilities
• Design, develop, and deploy AI agents for business-critical workflows, focusing on LLM orchestration and tools.
• Implement complex agentic behaviours using frameworks like LangChain or LangGraph, including ReAct loops for reasoning and action.
• Design and develop a high-performance React application for the agent's user interface. Collaborate with backend teams to integrate APIs and services, and build tools for agents.
• Work with middleware (Python/Node.js) to orchestrate agent calls and data flow.
• Implement comprehensive observability and tracing for agent runs and system performance.
• Build reusable, scalable UI components.
• Optimize application performance, responsiveness, and scalability.
• Participate in architectural discussions and contribute to solution design.
• Write clean, maintainable, and testable code with proper documentation. Required Skills &

Qualifications:




• 5+ years of experience in full stack development, with strong expertise in Python and React.js. Proven experience in designing, building, and deploying at least 1 production-deployed AI agent or LLM application.
• Deep expertise in LLM orchestration, prompt engineering, and utilizing tools/plugins to extend agent capabilities.
• Experience with agent frameworks like LangChain or LangGraph, including implementing reasoning patterns like the ReAct loop.
• Experience with observability, logging, and tracing for AI agents.
• Experience building large-scale, enterprise-grade applications.
• Solid experience with API integration (REST/GraphQL).
• Experience working in Agile/Scrum environments.

📌 Fullstack AI Engineer (India)
🏢 Innodata
📍 India