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Tier-1 employer, mid-level generalist fullstack title, metro location, and common experience amplify competition.
Requires niche LLM/agent experience but core React and Python fullstack skills remain moderately transferable.
Explicit 3+ years plus mandatory LLM agent, React and Python production experience increases shortlisting strictness.
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Design, develop, and deploy AI agents focusing on LLM orchestration and complex agentic behaviors using frameworks like LangChain or LangGraph.
Build and optimize a high-performance React frontend and integrate with backend services including Python/Node.js middleware for agent orchestration.
Implement observability, tracing, and scalable UI components, contribute to architectural decisions, and ensure production readiness of AI agent applications.
Minimum 3 years of full-stack development experience with strong Python and React.js skills.
Proven experience deploying at least one production AI agent or LLM application.
Deep expertise in LLM orchestration, prompt engineering, and agent frameworks like LangChain or LangGraph.
Experience with API integration (REST/GraphQL) and working in Agile/Scrum environments.
Experienced in end-to-end AI agent development combining frontend and backend integration.
Comfortable working with AI agent frameworks and implementing advanced reasoning/action loops like ReAct.
Skilled in designing scalable enterprise-grade applications with observability and performance focus.