Staff AI Platform Engineer

avec compétence (avecco) GmbH; Baden; Hybrid; CHF 110.000 - 170.000; Vollzeit

Benefits dieser Stelle

Flexible hours

Remote up to 50%

3–6 months interim then permanent

Zusammenfassung

Energy supply seeks an experienced backend/infrastructure engineer to help build and operate a governed AI platform. You will run governance components, secure deployment pipelines and harden infrastructure while enabling cross-functional collaboration.

The role requires strong Python and API skills, experience with containers, Kubernetes, CI/CD and monitoring, and fluent English. Flexible hours with up to 50% remote work, initially 3–6 months interim, then permanent.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Python

APIs

Backend engineering

English fluency

Tools

Kubernetes

Containers

CI/CD

Monitoring

Jobbeschreibung

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