Description
You build and operate the governed platform that enables AI-assisted applications across the organisation, covering access control, security, and deployment.
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
Profile
- 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
Offer
- Workload 80-100%
- Flexible working hours with option to work up to 50% remotely
- 3-6 months interim, then a permanent position
Company
Energy supply