AI Platform Engineer – Secure, Scalable DevOps for AI

Julius Baer; Madrid; On-site; EUR 55,000 - 90,000; Full time

Job summary

Julius Baer in Madrid seeks a Software Engineer to own the AI integration layer within the software delivery toolchain, ensuring secure, scalable delivery of AI capabilities and collaboration with platform teams.

You will prototype LLM/RAG pipelines, develop APIs and integrations for CI/CD, observability, and developer workplace, and uphold enterprise security and traceability while working in an agile, cross-functional environment.

Qualifications

• 2-4 years of software engineering experience with AI integration.
• Strong knowledge of DevOps/MLOps, CI/CD, and cloud environments.
• Experience integrating ML/Generative AI into production systems.
• Security-conscious with enterprise-grade data protection.

Responsibilities

• Own the AI integration layer in the delivery toolchain.
• Collaborate with AI Product Engineers and platform teams.
• Prototype and validate LLM/RAG pipelines.
• Contribute to AI-driven automation across developer platforms.
• Develop and maintain APIs, pipelines, and service integrations.
• Ensure traceability, logging, and compliance of integrated solutions.
• Promote best practices for automation and reproducibility.

Skills

DevOps/MLOps

CI/CD pipelines

Cloud environments

APIs

Security & compliance

Agile teamwork

Communication

Education

Master or Bachelor's in CS or related

Tools

Docker

Kubernetes

CI/CD tooling

REST APIs

Job description

Julius Baer in Madrid seeks a Software Engineer to own the AI integration layer within the software delivery toolchain, ensuring secure, scalable delivery of AI capabilities and collaboration with platform teams.

You will prototype LLM/RAG pipelines, develop APIs and integrations for CI/CD, observability, and developer workplace, and uphold enterprise security and traceability while working in an agile, cross-functional environment.