AI Model Specialist

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We're seeking an Artificial Intelligence Model Engineer to spearhead strategic product development efforts in a fast-paced environment. Key Responsibilities: Design and maintain scalable vector store integrations for context-augmented generation. Integrate and optimize vector databases, including FAISS, Pinecone, Weaviate, and Milvus. Support the engineering backbone of agentic and RAG-based AI systems. Protocol Engineering: 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. Platform Enablement: Collaborate with cross-functional teams to productionize models and workflows. Ensure seamless data flow and model integration across services. Requirements: 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. Preferred Skills: Effective communicator with technical and non-technical stakeholders. Self-driven and adaptable in a fast-paced R&D environment. Strong English communication skills.

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