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

Apply online via Try&Hire with your profile — https://tryandhire.io/ch-en/jobs/e/staff-ai-platform-engineer-tah-btjtt/