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

How to apply

You apply with your Try&Hire profile: upload your CV, check the details, enter key facts and availability. A short introduction video is optional but helps. Our team will get in touch if your profile fits the assignment.

AI Platform Engineer