AI Platform Engineer - Governance, Deployment & Hybrid Work

avec compétence GmbH

Baden

Hybrid

CHF 120,000 - 180,000

Full time

9 days ago

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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

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.

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