AI Platform Engineer

avec compétence GmbH; Aargau; Hybrid; CHF 150,000 - 190,000; Full time

Job summary

Try&Hire is seeking an experienced Platform Engineer to build and operate production-grade backend and platform services focused on AI governance and secure infrastructure. You will own LLM routing, model access, and tool registration, while deploying compliant, SSO-secured pipelines.

You will shape the platform roadmap, create reusable APIs and templates, and collaborate with product teams. Fluent English is required; German is a plus.

Qualifications

• Proficient Python and API engineering skills.
• Experience with production-grade backend/platform systems.
• Practical experience with containers, Kubernetes, CI/CD and cloud infra.
• Experience with identity management, secrets and network controls.
• Genuine interest in AI models, evaluation and governance.
• Fluent English; German helpful but not required.

Responsibilities

• Develop and operate platform services for LLM routing, model access and tool registration.
• Build the deployment path from repository to running, SSO-protected application.
• Engineer secure execution environments with isolated runtimes and vulnerability checks.
• Create reusable APIs, SDKs, templates and documentation for product teams.
• Contribute to assessment of open-weight models and inference providers.
• Establish observability and evaluation patterns for cost, latency, quality and reliability.
• Support platform users and shape the platform roadmap.

Skills

Python

API engineering

Containers

Kubernetes

CI/CD

Cloud infra

Monitoring

IAM

AI governance

English

German helpful

Tools

Azure

Django

vLLM

MCP

A2A

Job description

You build and operate the platform services and secure infrastructure that enable AI-assisted applications across the organisation. The role combines backend platform engineering with AI governance and security.

Your tasks

• Develop and operate platform services for LLM routing, model access and tool registration
• Build the deployment path from repository to running, SSO-protected application
• Engineer secure execution environments with isolated runtimes and vulnerability checks
• Create reusable APIs, SDKs, templates and documentation for product teams
• Contribute to assessment of open-weight models and inference providers
• Establish observability and evaluation patterns for cost, latency, quality and reliability
• Support platform users and shape the platform roadmap

What you bring

• Several years of experience building and operating production-grade backend or platform systems
• Strong Python and API engineering skills
• Practical experience with containers, Kubernetes, CI/CD, cloud infrastructure and monitoring
• Experience with identity and access management, secrets and network controls
• Genuine interest in AI models, their evaluation and governance
• Fluent English; German useful but not required

Conditions

• Workload: 80–100 %
• Work model: Hybrid
• Option of a permanent position after the assignment if both sides want it

What to expect

• 80-100% workload
• Option to work up to 50% remotely
• 3-6 months interim, then a permanent position

Technologies

• Python
• Kubernetes
• CI/CD
• Django
• Azure
• vLLM
• MCP
• A2A