AI platform engineer for enterprise environments

CHAPTERS Group is a publicly listed German holding company that acquires and holds vertical software companies. Over 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 steering 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 too. 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 operate our Open WebUI-based AI platform, the AI Hub, for more than 10 companies.

• Operate the AI Hub for 10+ companies: deployments, updates, configuration, SSO with Entra ID, monitoring, backups, and incident handling
• Onboard companies and teams: set up skills, knowledge bases, and tools so that every company can work productively with the Hub
• Be the technical point of contact: when something fails or a champion gets stuck, you analyze and fix it. You document recurring problems so they only have to be solved once.
• Connect the Hub wherever a use case requires it: Microsoft 365 / Graph, CRM, ticketing, and ERP systems through tools, MCP servers, and REST APIs
• Turn recurring questions into reusable components: documentation, templates, and short hands-on sessions
• Work in the AI Core Team: share patterns across companies, test new features, and feed insights into the platform roadmap
• Occasionally support the M&A team (about 10 to 20% of your time) with technical questions, for example by assessing the tech and AI stack of acquisition candidates

• 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 with production operations. You have deployed and operated containerized applications in production (Docker, CI/CD, Linux, a major cloud, Azure preferred) and were responsible when they went down. This usually means at least 2 years in a DevOps, Platform, SRE, or Backend role.
• Python that you can confidently read, debug, and extend.
• Practical experience with LLMs. You use them seriously in your own workday, have built something with them professionally or privately, and know where they fail. You explain technology in a way that non-technical people understand and can act on. You enjoy being the technical point of contact for teams without a technical background.
• Будет плюсом: Strong signals in 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

• Real responsibility: 10+ companies, one platform, and you make sure AI works there.
• 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 the standard for 55+.
• Permanent full-time position, remote-first with occasional in-person meetings.
• Development: talent reviews, events, and conferences. We hire people who want to grow with us.