AI Platform Engineer (m/f/d) | AI Hub for 10+ companies

Worldwide | Nov. 3, 2026

Report as Closed

Company: CHAPTERS Group AG

Country: Worldwide

Type: Remote

Employment: Unbefristeter arbeitsvertrag

Description:

About CHAPTERS Group

CHAPTERS Group is a listed German holding company that acquires and holds vertical software companies. In the last five years we have grown tenfold and now own more than 60 companies. Each runs its own business, close to its customers. We make them stronger without taking the wheel out of their hands. AI is one of the biggest opportunities we see for them. But it only works if the people in these companies use it.

The role

You are part of the AI Core team in the CTO's office and work as a forward deployed engineer close to the companies in our group. You run our AI Hub, an Open WebUI-based AI platform, for more than 10 companies. You bring what you see in the field, test new skills and help shape the platform for all 60+ companies.

German (C1+) and English are mandatory.

What you do

Operate the AI Hub for 10+ companies: Deployments, updates, configuration, SSO with Entra ID, monitoring, backups and incidents Handling
Onboard companies and teams: Set up skills, knowledge bases and tools so that every company works productively with the hub
Be the technical contact: If something fails or a champion gets stuck, you analyze and fix it. You document recurring problems so that they only have to be solved once.
The hub Connect where a use case needs it: Microsoft 365 / Graph, CRM, ticketing and ERP systems via tools, MCP servers and REST APIs
Turn recurring questions into reusable building blocks: Documentation, templates and short hands-on sessions
Work in the AI Core Team: Share patterns across companies, test new features and Incorporate insights into the platform roadmap
Occasionally support the M&A team (around 10 to 20% of your time) with technical questions, for example when assessing the tech and AI stack of acquisition candidates

What you bring with you

Mandatory

German (C1 or higher) and fluent English.You work daily in German with managing directors and non-technical teams. We make no exceptions here.
Experience in productive operations. You deployed and operated containerized applications productively (Docker, CI/CD, Linux, a large cloud, Azure preferred) and were responsible when they failed. This usually means at least 2 years in a DevOps, platform, SRE or backend role.
Python, which you can confidently read, debug and expand.
Practical experience with LLMs. You use them seriously in your own everyday work, have built something with them professionally or privately and know where they fail.
You Explain technology in a way that non-technical people can understand and act on. You enjoy being the technical contact for teams without a technical background.

Strong signals

Enterprise Identity: Entra ID, OAuth, SSO
Self-hosted LLM platforms such as Open WebUI or LibreChat
MCP, Tool Calling, Agent Frameworks
Infrastructure as Code (Bicep, Terraform)
Experience in a support, solutions, or customer-facing technical role
Experience working across multiple companies, tenants, or a group structure

This role is not for you if this is where you

spend the majority of your time want to build new AI products from scratch
Looking for ML research or model training
only want to work with engineers and avoid direct contact with departments

This is what you get

Real responsibility: 10+ companies, one platform, and you make sure that AI is there works
A small AI core team with a direct line to the C-level. Decisions are made quickly.
Impact beyond your platform: What works in your companies becomes standard for 55+
Permanent full-time position, remote-first with occasional face-to-face appointments
Development: Talent reviews, events and conferences. We hire people who want to grow with us.