





Tier-1 brand, mid-level generalist title, metro location, and 3+ years requirement increase competition.
Strong AI-agent, LLM orchestration, and LangChain expertise limit cross-industry transferability.
Multiple mandatory technical requirements (React, Python, LLM frameworks, production agent experience) make shortlisting strict.
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Design, develop, and deploy AI agent applications using LLMs, focusing on high-performance React frontends and Python-based agent logic.
Implement complex agent behaviors leveraging frameworks like LangChain or LangGraph and ensure observability and system performance tracing.
Collaborate with backend teams for API integration and middleware orchestration, contribute to architecture, and maintain scalable, reusable UI components.
3+ years of full-stack development experience with expertise in Python and React.js.
Proven experience in designing, building, and deploying at least one production AI agent or LLM application.
Strong skills in LLM orchestration, prompt engineering, and agent frameworks such as LangChain or LangGraph, including ReAct loop implementation.
Experience with API integrations (REST/GraphQL) and working in Agile/Scrum environments.
Experienced in end-to-end AI agent development including frontend and backend integration, focusing on scalable enterprise-grade applications.
Skilled in system design and solving complex problems related to AI agent orchestration and tool integration.
Capable of maintaining production readiness with observability, performance optimization, and architectural contributions.