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Sr Software Engineer - Agentic Applications (Full Stack)

Salary not listed • Bengaluru, India • Full-time

Posted 2mo ago

This job has been open for more than 60 days. It may no longer be actively hiring, so check with the company before putting a lot into an application.

Remote Work Policy

On-site

Employment Type

Full-time

Categories

AI Agent Engineer

About the job

We are seeking a Senior Full Stack Developer to design, build, and deploy modern, scalable AI agents and applications powered by Large Language Models (LLMs). This role emphasizes end-to-end agent development, encompassing a high-performance React frontend, Python-based agentic logic, backend service integration, and ensuring production readiness. You will be instrumental in creating AI agents for business-critical workflows, focusing on LLM orchestration and tooling.

Responsibilities

  • Design, develop, and deploy AI agents for business-critical workflows, focusing on LLM orchestration and tooling.
  • 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.

Requirements

  • 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.
  • 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.

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