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Tier-1 brand, metro location, generalist fullstack title, and mid-level (3+ years) experience increase competition.
Highly specialized LLM agent and LangChain expertise reduces cross-industry transferability.
Requires specific LLM/agent production experience plus Python, React, and observability—strict technical filters.
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Design, develop, and deploy AI agents leveraging Large Language Models (LLMs) focusing on end-to-end agent development.
Build high-performance React frontend and implement agentic logic in Python, integrating with backend services and middleware (Python/Node.js).
Ensure production readiness including observability, tracing, and application performance optimization at scale.
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.
Expertise in LLM orchestration, prompt engineering, and agent frameworks like LangChain or LangGraph with reasoning patterns such as ReAct loops.
Experience with API integration (REST/GraphQL) and agile development processes.
Developer experienced in designing scalable AI agents and enterprise-grade applications with strong system design skills.
Comfortable working across frontend, backend, and middleware integration layers involving React, Python, and Node.js.
Skilled in implementing AI agent observability, prompt engineering, and complex agentic behaviors using modern frameworks.