Experteer Overview In this role you shape the enterprise AI platform used by teams globally, building scalable, secure and cost-efficient infrastructure. You will work with cross-functional stakeholders to enable AI services, governance, and model routing at scale, driving adoption and reliability. You’ll grow your technical leadership and, if you choose, mentor others while delivering high-impact platform solutions. This is a hands-on opportunity to influence architecture, tooling, and best practices in a collaborative environment.

Compensaciones / Beneficios • Design, build and operate the enterprise AI platform runtime • Enable teams via shared AI services, governance frameworks and model routing • Implement prompt and skills management capabilities • Ensure scalability, reliability, observability, compliance and cost efficiency • Define platform standards and collaborate with internal stakeholders to drive AI adoption





Responsabilidades • Proven experience building and operating AI or developer platforms at production scale • Strong expertise in Kubernetes, cloud-native infrastructure, networking, and platform operations • Experience with LLMOps/MLOps ecosystems, vector databases, embeddings, RAG architectures, and AI frameworks • Hands-on software engineering with Python and Java; Infrastructure as Code with Terraform; CI/CD practices • Strong understanding of AI governance, compliance, safety guardrails, observability, reliability, and AI FinOps principles

Requisitos principales • Private health insurance • Full coverage for sick leave • Emotional, legal and family support • Gym discounts or sports compensation • Versátil remuneration: meals, transport, childcare • 23 working days of vacation

📌 AI Infrastructure Engineer - Cloud & LLMOps - Insurance Industry (Barcelona)
🏢 Erni
📍 Barcelona