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Tier-1 brand, metro location, mid-level fullstack title, and broad skillset drive high competition.
LLM/agent specialization raises domain bias, though core React and Python skills remain transferable.
Mandatory LLM agent, production deployment, and Python/React requirements make shortlisting highly strict.
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Design, build, and deploy scalable AI agents and LLM-powered applications, focusing on end-to-end agent development including frontend UI, backend integration, and orchestration logic.
Develop high-performance React frontends and Python/Node.js middleware to orchestrate agent behaviors using frameworks like LangChain or LangGraph, implementing complex reasoning patterns such as ReAct loops.
Ensure production readiness with comprehensive observability, tracing, and scalable architecture, while participating in solution design and maintaining clean, testable code.
Minimum 3 years of full-stack development experience with strong Python and React.js skills.
Proven experience designing, building, and deploying at least one production AI agent or LLM application.
Deep expertise in LLM orchestration, prompt engineering, and using agent frameworks like LangChain or LangGraph, including reasoning/action loop implementation.
Experience with observability, logging, tracing for AI agents, API integration (REST/GraphQL), and working in Agile/Scrum environments.
Experienced full-stack developer comfortable working across frontend (React) and backend (Python/Node.js) layers with AI agent technologies and enterprise-grade applications.
Strong understanding of agent frameworks and AI-driven orchestration, including prompt engineering and reasoning loops indicative of hands-on LLM agent development.
Capable of owning end-to-end solution design, emphasizing performance optimization, observability, and scalable architecture in production environments.