Jobs / ERNI Schweiz AG

AI Infrastructure Engineer - Cloud & LLMOps - Insurance Industry

ERNI Schweiz AG · Barcelona, CT, Spain
Barcelona, CT, SpainHybrid
Remuneration
Certification costs covered; technical achievement rewards up to €1,500; private health insurance; full sick-leave coverage; emotional, legal, and family support; gym discounts or sports compensation; flexible benefits for meals, transport, and childcare; referral bonuses up to €6,000 per candidate and €5,000 per client; 23 working days of vacation; language courses
Location
Barcelona, CT, Spain
Visa sponsorship
Not specified

Job summary

Design, build, and operate a secure, reliable, and cost-efficient enterprise AI platform runtime that enables teams to adopt AI through shared infrastructure and services. The role covers Kubernetes-based platform engineering, AI governance, model routing, RAG services, and prompt and skills management, while ensuring scalability, observability, compliance, and cost efficiency.

Benefits

Certification costs coveredTechnical achievement rewards up to €1,500Private health insuranceFull sick-leave coverageEmotional, legal, and family supportGym discounts or sports compensationFlexible benefits for meals, transport, and childcareReferral bonuses up to €6,000 per candidate and €5,000 per client23 working days of vacationFree English, Spanish, Catalan, and German courses

Qualifications

  • Production-scale experience building and operating AI or developer platforms
  • Expertise in Kubernetes, cloud-native infrastructure, networking, and platform operations
  • Experience with LLMOps or MLOps ecosystems, vector databases, embeddings, RAG architectures, and AI frameworks
  • Hands-on software engineering experience with Python and Java
  • Experience with Terraform and CI/CD practices
  • Understanding of AI governance, compliance, safety guardrails, observability, reliability, and AI FinOps

Responsibilities

  • Design, build, and operate the enterprise AI platform runtime
  • Provide shared AI services and governance frameworks
  • Enable model routing and prompt and skills management
  • Ensure platform scalability, reliability, observability, compliance, and cost efficiency
  • Define platform standards
  • Collaborate with stakeholders to drive organizational AI adoption

Skills

JavaKubernetesPythonTerraform

Languages

EnglishSpanishCatalanGerman

Work schedule

40-hour workweek

Industry

Enterprise AI

Relocation

No