AI Model Architect

3 semanas atrás

Fortaleza CE, Brasil beBeeMachineLearning Tempo inteiro

Lead AI Model Engineer This role involves implementing scalable vector store integrations, building retrieval pipelines and enabling advanced communication protocols between intelligent agents. Key responsibilities include: RAG & VectorStore Systems: Build end-to-end RAG pipelines for context-augmented generation, integrate and optimize vector databases, and support the engineering backbone of agentic and RAG-based AI systems. Protocol Engineering: Implement model context protocol to maintain stateful LLM interactions, build agent-to-agent communication layers for multi-agent orchestration and enable persistent memory and context sharing across model calls. Platform Enablement: Collaborate with cross-functional teams to productionize models and workflows, ensure seamless data flow and model integration across services. The ideal candidate will have a deep understanding of vector databases and RAG architecture, experience with cloud-based ML pipelines, solid Python skills, containerization tools and effective communication skills.

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