Senior Full Stack Developer

Innodata Inc.; India; On-site; INR 2,500,000 - 6,000,000; Full time

Job summary

Innodata Inc. in India seeks a Senior Full Stack Developer to design, build, and deploy scalable AI agents and LLM-powered applications using Python and React.

You will own end-to-end development, collaborate with backend teams, implement robust observability, and ensure production readiness with clean, testable code. We value hands-on experience delivering production AI agents, strong API integration skills, and familiarity with Agile/Scrum practices.

Qualifications

• 5+ years of experience in full stack development with Python and React.js.
• Experience delivering at least one production AI agent or LLM application.
• Strong expertise in LLM orchestration, prompt engineering, and tooling to extend agent capabilities.

Responsibilities

• Design, develop, and deploy AI agents for business-critical workflows with LLM orchestration.
• Implement reasoning and action patterns using frameworks like LangChain or LangGraph.
• Design and develop a high-performance React frontend for agent UI.
• Collaborate with backend teams to integrate APIs and services.
• Orchestrate agent calls and data flow using Python/Node.js.
• Establish observability, logging, and tracing for agent runs and performance.
• Build reusable UI components and optimize application performance.

Skills

Full stack development

Python

React.js

LLM orchestration

LangChain/LangGraph

Observability/Tracing

API integration

Agile/Scrum

Databricks certification

Tools

LangChain

LangGraph

REST/GraphQL

Job description

We are looking for a Senior Full Stack Developer to design, build, and deploy modern, scalable AI agents and applications that leverage Large Language Models (LLMs). This role requires a strong focus on end-to-end agent development, including building a high-performance React frontend, designing the agentic logic in Python, integrating with backend services, and ensuring production readiness.

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.
• Strong experience with API integration (REST/GraphQL).
• Experience working in Agile/Scrum environments.
• Databricks certification. (good to have).