Jobs / Axpo group
AI Platform Engineer (f/m/d)
Axpo group · Baden, AG, Switzerland
Baden, AG, SwitzerlandRemote
Remuneration
Pension contributions, continued salary during illness or accident, parental leave, childcare reimbursement, mental health sessions, partner discounts, and SwissPass subsidy.
Location
Baden, AG, Switzerland
Visa sponsorship
Not specified
Job summary
Build and operate a secure, governed AI platform that gives product teams controlled access to models and tools and supports AI-assisted applications from development through production. The role covers LLM routing, MCP tool registration, identity and permissions, secure execution environments, deployment services, reusable APIs and SDKs, and AI observability and evaluation. The platform supports energy-sector teams and tracks cost, latency, quality, reliability, and policy compliance.
Benefits
Up to 50% remote workEmployer pays 60% of pension contributionsContinued salary payment during illness or accidentFive free mental health sessions16 weeks of maternity leave at full pay10 days of paternity leave at full payChildcare cost reimbursement up to 20%, capped at CHF 4,800 per yearDiscounts on fuel, insurance, and mobile servicesSwissPass subsidy up to CHF 190
Qualifications
- Several years of experience building and operating production-grade backend, platform, or infrastructure systems.
- Strong Python and API engineering skills, with practical experience in containers, Kubernetes, CI/CD, cloud infrastructure, and monitoring.
- Experience with identity and access management, secrets, network controls, secure software delivery, and platform reliability.
- Experience building with AI models and understanding model limitations, evaluation, and usage controls.
- Ability to make and communicate engineering trade-offs to technical and non-technical stakeholders, with a product-focused approach.
- Fluent English; German is useful but not required.
- Preferred experience with MCP, A2A, agent frameworks, evaluation tooling, Django, Azure or comparable technologies, open-weight models such as vLLM, or regulated and security-sensitive environments.
Responsibilities
- Develop and operate platform services for LLM routing, model access, MCP tool registration, identity and permissions, rate limits, team budgets, tracing, and auditing.
- Build and improve deployment workflows from repository to SSO-protected application, including secrets handling, safe defaults, and administration for non-technical users.
- Engineer secure execution environments with isolated runtimes, code analysis, vulnerability checks, restricted egress, and least-privilege execution.
- Create reusable APIs, SDKs, templates, and documentation for responsible development and operation of AI-assisted applications.
- Assess open-weight models and European inference providers; establish AI observability and evaluation for cost, latency, quality, reliability, and policy compliance.
- Support platform users, resolve issues, turn feedback into improvements, and contribute to agent-to-agent capabilities and the platform roadmap in collaboration with product, security, cloud, and business teams.
Skills
AzureBashIAMKubernetesPython
Languages
EnglishGerman
Work schedule
80–100% workloadFlexible working hours
Industry
Energy
Relocation
No