AI Platform Engineer (m/f/d)

Team

AI Enablement builds Raisin's internal AI platform. We make it easy and safe for every team, from engineering and product to business operations, to use AI in their daily work and in the products they build.

We provide the shared foundation for that: governed access to AI models and tools, the controls that keep data secure and usage auditable, and the visibility teams need to run AI reliably and cost-effectively. We also shape how Raisin builds software with AI, from AI-assisted coding to agentic workflows that support teams across the development lifecycle. Because Raisin operates in regulated financial services, security and compliance are core to how we design the platform.

You will join early and help shape how AI is used across Raisin.

Your Responsibilities

As an AI Platform Engineer, you build and run the platform that lets teams use AI safely, and you help engineering teams bring AI into how they build software. You own your work from the first design to production and work directly with the people who use it. You won't do all of the following at once: you will go deep in a few areas and contribute to the rest.

Build and run the platform

• Design, build, and operate shared services that give teams governed access to AI models and tools, including authentication, routing across providers, usage limits, guardrails, and audit logging.
• Build safe ways for AI agents to connect to internal systems and data, with clear identity, permissions, and review.
• Run what you build in production: infrastructure as code, observability for reliability, usage, and cost, and incident response.

Bring AI into how we build software

• Design and build agentic workflows that support engineers across the development lifecycle, from planning and implementation to code review, testing, and release.
• Create reusable building blocks for AI tools, such as agent instructions, skills, and integrations with engineering systems, that teams can adopt and extend.
• Help engineering teams adopt AI-assisted development in a way that improves quality as well as speed, and measure the effect on delivery.

Treat the platform as a product for internal customers

• Work with engineers, product managers, and business teams to understand their needs and turn them into platform capabilities.
• Make the platform and its tools easy to adopt through self-service, sensible defaults, and clear documentation.
• Measure adoption, reliability, cost, and impact, and use that data to decide what to build next.

Own technical decisions

• Lead the design of new capabilities from first idea to production, including build-versus-buy choices, and document decisions so others can follow the reasoning.
• Work with security, legal, and compliance colleagues to turn their requirements into controls the platform enforces automatically.
• Make principled model choices based on cost, latency, and quality.
• Raise the bar for the engineers around you through design reviews, pairing, and sharing what you learn.

 

Your Profile

What you bring

• 5+ years as a software engineer in backend, platform, or infrastructure roles, including production systems that other teams depend on.
• Experience building for internal customers: a platform, developer tooling, or shared services used by other engineers.
• Strong skills in at least one programming language (Python preferred; TypeScript and JVM languages also relevant).
• Solid cloud and delivery fundamentals: AWS or another major cloud, containers, infrastructure as code, and CI/CD.
• Practical experience with LLM APIs or AI tooling beyond experiments, and you use AI coding assistants in your daily work.
• You are comfortable with evolving scope, make pragmatic trade-offs, and explain them clearly to technical and non-technical colleagues.

Nice to have

• Experience with LLM gateways, the Model Context Protocol (MCP), managed model services, or agent runtimes.
• You have rolled out AI-assisted development workflows for other engineers, such as agent instructions, reusable skills, or automated code review.
• Identity and access: OAuth 2.0 / OIDC, SSO, role-based access control, or delegated access.
• API gateways, rate limiting, multi-tenant isolation, or observability (OpenTelemetry or similar).
• A feel for the cost, latency, and quality trade-offs of different models.

You don't need to tick every box. If you have strong platform or developer-tooling experience and real curiosity about AI, we would like to hear from you.

 

Join our mission, join our team – and grow with us!

At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.

As part of our team, you will benefit from:

• Employee Development Budget of €2,000 and four full training days per year.
• Flexible working hours, home office and 30 vacation days.
• A company pension scheme (Betriebliche Altersvorsorge), which we support with 20%.
• Enjoy more than 50+ different sports with Urban Sports Club: We subsidize your membership with more than €20 per month. 
• Do you miss being in the office? The Deutschland Ticket gets you there, which we subsidize with €25 per month.
• Love cycling? With JobRad, lease the bike of your choice and enjoy tax savings, plus Raisin covers your monthly insurance costs.
• Hungry all the time? Snacks, daily fresh fruit as well as drinks provided at the office.
• You are moving from another country or city to join us? We may support your relocation.

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