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Há 4 dias


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Lead Strategic Product Development Efforts We are seeking a highly skilled LLM Engineer to spearhead strategic product development initiatives in a dynamic and collaborative environment. This role will focus on implementing scalable vector store integrations, building retrieval pipelines, and enabling advanced communication protocols between intelligent agents. Develop and maintain end-to-end RAG pipelines for context-augmented generation Integrate and optimize vector databases (FAISS, Pinecone, Weaviate, Milvus) Support the engineering backbone of agentic and RAG-based AI systems Implement Model Context Protocol (MCP) to maintain stateful LLM interactions Build Agent-to-Agent (A2A) communication layers for multi-agent orchestration Enable persistent memory and context sharing across model calls To succeed in this role, you will need to collaborate with cross-functional teams to productionize models and workflows, ensuring seamless data flow and model integration across services. Key qualifications and skills include: Deep experience with vector databases and RAG architecture Familiarity with MCP (Model Context Protocol) and A2A (Agent-to-Agent) design patterns Solid background in Python, cloud-based ML pipelines, and containerization tools Experience in operationalizing LLM-based systems in production Detail-oriented with a strong engineering mindset Effective communicator with technical and non-technical stakeholders Self-driven and adaptable in a fast-paced R&D environment Very strong English communication skills, both written and verbal (essential for global collaboration) Experience with Contract Analysis and automated document understanding


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