Application Engineer

• Análisis, diseño y desarrollo de BI en ámbito sanitario.
• Trabajar en un gran equipo de personas.
• Colaborar en proyectos relacionados con aplicaciones empaquetadas/SaaS.

Ingeniero/a de Aplicaciones Empaquetadas, SaaS

• Colaborar en un proyecto en remoto con turnos 24x7.
• Soporte para Aplicaciones back.

Ingeniero/a de Soporte a Aplicaciones

• 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.
• 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.
• 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).
• Optimize data retrieval patterns to support real-time AI applications and agentic workflows.
• Oversee Model Hosting environments, utilizing Kubernetes (K8s) and GPU orchestration to manage compute resources efficiently.
• Enable Developer Self-Service
• Build and maintain a Self-Service Portal or CLI that allows product squads to provision AI environments, models, and data stores independently.
• Reduce "Time-to-Inference" for new features by providing pre-configured templates and blueprints.
• Conduct internal workshops and provide documentation to empower squads to use the platform effectively.

Application Engineer jobs in Spain

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Ingeniero/a de Aplicaciones Empaquetadas, SaaS

Ingeniero/a de Soporte a Aplicaciones

Lead AI Application Engineer – Infrastructure, LLMOps