Description
You build and operate the platform services and secure infrastructure that enable AI-assisted applications across the organisation. The role combines backend platform engineering with AI governance and security.
Tasks
- Develop and operate platform services for LLM routing, model access and tool registration
- Build the deployment path from repository to running, SSO-protected application
- Engineer secure execution environments with isolated runtimes and vulnerability checks
- Create reusable APIs, SDKs, templates and documentation for product teams
- Contribute to assessment of open-weight models and inference providers
- Establish observability and evaluation patterns for cost, latency, quality and reliability
- Support platform users and shape the platform roadmap
Profile
- Several years of experience building and operating production-grade backend or platform systems
- Strong Python and API engineering skills
- Practical experience with containers, Kubernetes, CI/CD, cloud infrastructure and monitoring
- Experience with identity and access management, secrets and network controls
- Genuine interest in AI models, their evaluation and governance
- Fluent English; German useful but not required
Offer
- 80-100% workload
- Option to work up to 50% remotely
- 3-6 months interim, then a permanent position
Company
Energy supply