Staff AI Platform Engineer

avec compétence GmbH; Baden; Hybrid; CHF 120,000 - 180,000; Full time

Benefits offered by this job

Flexible working hours

Remote work up to 50%

Interim to permanent

Job summary

Energy supply is seeking an experienced backend and infrastructure engineer to build and operate the governance platform for AI-powered applications, covering access control, security and deployment.

You will collaborate with product, security, cloud and business teams to deliver production-ready capabilities. The role offers 80-100% workload, flexible hours with up to 50% remote, and a 3-6 month interim period followed by a permanent position.

Qualifications

• Production systems experience building and operating production services.
• Strong Python and API skills.
• Experience with containers and Kubernetes.
• Genuine interest in AI governance and working with models.
• Willingness to contribute to frontend code when needed.

Responsibilities

• Run components enforcing AI governance (routing, tool registry, identity, permissions).
• Build deployment path from repository to running SSO-protected app with secrets handling.
• Harden infrastructure with isolated runtimes and vulnerability checks.
• Support users by fixing issues and improving docs; feed feedback to product changes.
• Assess open-weight models and European inference providers for options.
• Collaborate with product, security, cloud and business teams to deliver production-ready capabilities.

Skills

Backend engineering

Infrastructure engineering

Python

APIs

Golang or similar (optional)

English (Fluent)

Tools

Kubernetes

CI/CD

Monitoring

Job 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