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Job OverviewThis is a position for those seeking to work at the forefront of next-generation AI and healthcare, leveraging hands-on experience and ownership.We're looking for a quick-learning engineer who can thrive at the intersection of backend systems and AI orchestration, someone who can design and implement sophisticated multi-agent pipelines using frameworks like LangGraph, n8n, and OpenAI Agent SDK.The ideal candidate will have experience with Python and asynchronous backend frameworks (FastAPI, asyncio, etc.), strong familiarity with LangGraph, LangChain, OpenAI Agent SDK, or similar orchestration tools, and comfort working with cloud infrastructure (AWS preferred).Key ResponsibilitiesDevelop autonomous AI agents that reason, plan, and call tools via LangGraph, OpenAI SDK, or custom logic.Design RAG pipelines (ingestion retrieval synthesis) optimized for multi-modal knowledge bases.Integrate agents with backend APIs, databases, and workflows (FastAPI, AWS Lambda, DynamoDB, S3, etc.).Create event-driven architectures using WebSockets and queues for real-time AI responses.Develop observability and cost tracking systems for long-running agent processes.