You build and operate the governed platform that enables AI-assisted applications across the organisation, covering access control, security, and deployment.

Your tasks

Run components enforcing AI governance: LLM routing, tool registry, identity and permissions, rate limits, budgets, tracing and audit
Build the deployment path from repository to running SSO-protected application with secrets handling and safe defaults
Harden infrastructure with isolated runtimes, code analysis, vulnerability checks, restricted egress and dropped privileges
Support platform users by fixing issues, improving documentation and turning feedback into product changes
Assess open-weight models and European inference providers and make suitable options available
Collaborate closely with product, security, cloud and business teams to deliver production-ready capabilities

What you bring

Several years of backend and infrastructure engineering experience building and operating production systems
Strong Python and API skills
Experience with containers, Kubernetes, CI/CD and monitoring
Genuine interest in AI models and their governance, with hands-on experience building with models
Ability to write reasonable frontend code or willingness to learn it
Fluent in English; German is useful but not required

Conditions

Workload: 80–100 %
Work model: Hybrid
Option of a permanent position after the assignment if both sides want it

What to expect

Workload 80-100%
Flexible working hours with option to work up to 50% remotely
3-6 months interim, then a permanent position

Technologies

Python
Kubernetes
CI/CD
MCP
A2A
Django
Azure

How to apply

You apply with your Try&Hire profile: upload your CV, check the details, enter key facts and availability. A short introduction video is optional but helps. Our team will get in touch if your profile fits the assignment.

Staff AI Platform Engineer