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We are currently looking for a dedicated Lead AI Aplication Engineer to join one of our clients' teams . If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you.

Key Responsibilities
Build & Run the Shared AI Platform

Architect and maintain a multi-tenant AI Platform that supports the full ML lifecycle across cloud and on-premises environments.

Ensure high availability, low latency, and cost-efficiency for all shared AI resources.





Implement LLMOps/MLOps best practices, including automated deployment pipelines for models.

2. Curate the AI Services Catalogue

Develop and expose "as-a-service" capabilities: Inference-as-a-Service, Embeddings-as-a-Service, and RAG-as-a-Service.

Standardize how squads interact with LLMs, providing unified APIs and abstraction layers to prevent vendor lock-in. xcskxlj

3. Manage AI Data Infrastructure

Own the deployment and scaling of Vector Databases (e.g., Pinecone, Milvus, Weaviate) and Feature Stores (e.g., Feast, Tecton, Hopsworks).

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📌 Encryption Platform Engineer: Ciphertrust & Luna Hsm (Barcelona)
🏢 Mantu
📍 Barcelona