JD:
• 12+ years of software engineering experience with strong expertise in Python, react, AWS.
• Candidate should be owning end-to-end delivery with minimal supervision.
• Extensive experience building AI applications using Python (FastAPI, Flask, LangChain/LlamaIndex) and TypeScript (Node.js, NestJS, Express) for backend services, AI agents, and orchestration layers.
• Strong expertise in Agentic AI architecture, including agent design patterns, multi-agent systems, planning, reasoning, memory management, tool/function calling, and workflow orchestration.
• Hands-on experience with orchestration frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI Agents SDK, or similar enterprise AI frameworks
• Hands-on experience designing and implementing Agentic AI solutions, autonomous workflows, and enterprise AI applications.
• Experience building Retrieval-Augmented Generation (RAG), vector database integrations, tool calling, function calling, and LLM-based applications.
• Ability to independently own user stories from requirement analysis through development, unit testing, peer reviews, Dev/UAT testing, deployment, and production support.
• Experience developing scalable APIs, microservices, and cloud-native AI solutions on AWS.
• Strong understanding of prompt engineering, AI governance, observability, evaluation frameworks, and model optimization.
• Collaborate with Product Owners, Architects, Data Scientists, and Platform teams to deliver enterprise AI capabilities.
• Mentor engineering teams and drive engineering excellence across the complete SDLC.