Lead Multi-Agent Pipeline Developer

2 weeks ago

tumakuru, India beBeeEngineering Full time

AI Systems EngineerThe role of an AI Systems Engineer is crucial in the development and implementation of sophisticated multi-agent pipelines using frameworks like LangGraph, n8n, and the OpenAI Agent SDK.Built on cutting-edge technologies, this position requires a quick-learning engineer who can live at the intersection of backend systems and AI orchestration.This involves designing and implementing RAG pipelines (ingestion → embedding → retrieval → synthesis) optimized for multi-modal knowledge bases.The ideal candidate should be able to integrate agents with backend APIs, databases, and workflows (FastAPI, AWS Lambda, DynamoDB, S3, etc.)A system that creates event-driven and streaming architectures using WebSockets and queues for real-time AI responses would be highly beneficial.The ability to develop observability and cost tracking systems for long-running or multi-step agent processes is also essential.About This Role:As an AI Systems Engineer, you will have hands-on experience and ownership in this role. You will work on building and orchestrating autonomous AI agents that reason, plan, and call tools via LangGraph, OpenAI SDK, or custom logic.This includes designing and implementing sophisticated multi-agent pipelines using frameworks like LangGraph, n8n, and the OpenAI Agent SDK.The ideal candidate should have experience with backend systems and AI orchestration.This role requires strong problem-solving skills and the ability to learn quickly.Benefits:This role offers a range of benefits, including:A competitive salary package.Ongoing training and development opportunities.A collaborative and dynamic work environment.

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