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