Enterprise AI Platform Engineer: Kubernetes & LLMOps

ERNI; Barcelona; Hybrid; EUR 85,000 - 110,000; Full time

Benefits offered by this job

Mentor program

Hybrid work model

Job summary

ERNI in Barcelona is seeking a Senior Platform Engineer to design, build and operate our enterprise AI platform runtime. You will enable teams with shared AI services, governance frameworks, model routing, and scalable platform capabilities.

You will own Kubernetes-based infrastructure, LLMOps workflows, and AI FinOps practices, while mentoring peers and driving reliable, cost-efficient solutions across multiple projects.

Qualifications

• 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 experience with Python, Java, and Infrastructure as Code with Terraform, and CI/CD practices.
• Strong understanding of AI governance, compliance, safety guardrails, observability, reliability, and AI FinOps principles.

Responsibilities

• Design, build, and operate the enterprise AI platform runtime.
• Enable teams via shared AI services, governance frameworks, model routing, and prompt/skills management.

Skills

Kubernetes

LLMOps

AI governance

RAG services

Platform engineering

Python

Java

IaC / Terraform

CI/CD

Observability

AI FinOps

Tools

Terraform

CI/CD pipelines

Python/Java

Job description

ERNI in Barcelona is seeking a Senior Platform Engineer to design, build and operate our enterprise AI platform runtime. You will enable teams with shared AI services, governance frameworks, model routing, and scalable platform capabilities.

You will own Kubernetes-based infrastructure, LLMOps workflows, and AI FinOps practices, while mentoring peers and driving reliable, cost-efficient solutions across multiple projects.