Chief AI Architect

1 week ago

varanasi, India beBeeIntegrator Full time

Machine Learning Engineer Role OverviewThis role involves designing and implementing multi-agent systems using various frameworks, building A2A orchestration, fine-tuning foundation models, and integrating retrieval-augmented generation pipelines.Key Responsibilities:Design and implement multi-agent systems using LangChain, LangGraph, CrewAI, AutoGen or similar frameworks.Build A2A (agent-to-agent) orchestration and implement MCP (multi-context protocol) for context reuse and collaboration.Fine-tune foundation models (LoRA, RLHF, DPO) and integrate retrieval-augmented generation (RAG) pipelines.Develop APIs and backend services with enterprise system integration.Build secure data pipelines and ensure governance, bias mitigation, and lineage.Containerize, deploy, and monitor agents with observability and drift detection.What You'll Need:Essential Skills:Proficiency in designing and implementing multi-agent systems.Experience with framework development (LangChain, LangGraph, etc.)Strong understanding of A2A orchestration and MCP principles.Familiarity with LoRA, RLHF, DPO, and RAG technologies.Expertise in API development and enterprise system integration.Strong knowledge of data pipeline design and security best practices.Experience with containerization, deployment, and monitoring tools.Why It Matters:We're seeking a talented Machine Learning Engineer to join our team and drive the development of cutting-edge AI solutions. As a key member of our engineering team, you'll work closely with cross-functional teams to design, implement, and deploy AI-powered systems that transform the way we work and live.

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