Senior AI/ML Engineer

Innodata Group; Sector 10; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Innodata Group in India is seeking a Senior Full Stack Developer to design, build, and deploy AI agents and applications leveraging LLMs. You will own end-to-end development including a high-performance React frontend and Python-based agent logic, integrating with backend services, and ensuring production readiness.

You will work with LangChain/LangGraph, implement ReAct reasoning loops, build scalable UI components, and collaborate with backend teams for API integration.

Qualifications

• 6+ years of full-stack development experience with strong Python and React.js
• Proven experience deploying at least 1 production AI agent or LLM application
• Deep expertise in LLM orchestration, prompt engineering, and tool/plugin usage
• Experience with LangChain or LangGraph and ReAct-style reasoning patterns
• Experience with observability, logging, and tracing for AI agents
• Experience building large-scale, enterprise-grade applications
• Strong API integration experience (REST/GraphQL)
• Experience working in Agile/Scrum environments

Responsibilities

• Design, develop, and deploy AI agents for business-critical workflows.
• Implement agent behaviors using frameworks like LangChain or LangGraph and ReAct loops.
• Build a high-performance React frontend for the agent UI.
• Collaborate with backend teams to integrate APIs and services.
• Orchestrate agent calls and data flow with middleware (Python/Node.js).
• Implement observability and tracing for agent runs and system performance.
• Build reusable, scalable UI components and optimize performance.
• Participate in architectural discussions and contribute to solution design.
• Write clean, maintainable, and well-documented code.

Skills

Python

React.js

LLM orchestration

LangChain/LangGraph

API integration REST/GraphQL

Agile/Scrum

Tools

LangChain

LangGraph

REST/GraphQL

Job description

5 - 8 Years

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 behaviors 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 & Experience

• 6+ 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 such as 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.

Preferred / Good to Have

• Experience with Node.js or Python for middleware development
• Understanding of Salesforce APIs (REST, Apex, RLM/CPQ)
• Experience with event-driven architectures (webhooks, CDC, async processing)
• Knowledge of CI/CD pipelines and DevOps practices
• Experience with Databricks platform and Mosaic AI

What We're Looking For

• Strong problem-solving and system design skills
• Ability to work across frontend and backend integration layers
• Ownership mindset with attention to detail
• Good communication and collaboration skills

Job Snapshot

Updated Date

10/27/2026

Job ID

Job_555