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High competition due to Tier-1 brand, generalist fullstack title, mid-level requirement, and Bangalore location.
High because specialized AI agent and LLM orchestration experience limits transferability across industries.
High because 5+ years, production AI-agent experience and specific LLM, React, Python requirements are mandatory.
Design, build, and deploy scalable AI agents leveraging Large Language Models, focusing on agent orchestration and tooling.
Develop a high-performance React frontend and integrate with backend services using Python/Node.js middleware for agent logic and data flow.
Implement observability, tracing, and optimize application performance while participating in architectural decisions and ensuring production readiness.
5+ years experience in full-stack development with strong skills in Python and React.js.
Proven experience deploying at least one production AI agent or LLM application.
Expertise in LLM orchestration, prompt engineering, and frameworks like LangChain or LangGraph including reasoning patterns like ReAct loops.
Experience with API integration (REST/GraphQL), observability tools, and Agile/Scrum environments.
Experienced in full ownership of end-to-end AI agent development integrating frontend, middleware, and backend layers.
Skilled in architecting large-scale, enterprise-grade applications involving advanced LLM orchestration and agent frameworks.
Comfortable contributing to system design discussions and implementing observability and performance optimization in production environments.