AI Platform Working Student

About CHAPTERS Group CHAPTERS Group AG is a Hamburg-based holding company investing in 55+ mission-critical software companies across the DACH region, France, and the Czech Republic. Our companies deliver the digital solutions that keep the public sector and core industries running. What they do matters in daily life. AI has rapidly disrupted the software industry, and we aim to lead that transformation across our portfolio. Central to this is the AI Core team: we build and operate a shared enterprise AI Hub used by companies across the group, and drive adoption through a network of AI Champions. Each portfolio company has one designated power user who leads AI enablement locally, runs training, and scales usage within their organisation. Tasks The Role You will work as a full member of the AI Core team, supporting the infrastructure that powers AI adoption across 55+ portfolio companies. The team's core product is the AI Hub platform (Open WebUI): we keep it running, deploy new instances, build and validate integrations, and ensure every company in the group has a stable, well-configured environment. We build the AI Hub as a product and ship it to every company in the portfolio. Each company owns and administers their own Hub (L1 Support). The AI Core team drives the features, changes, and integrations that create value across all hubs and serves as the centre of expertise (L2 Support) when local teams need guidance or hands-on help. You will have direct ownership of tasks, contribute your own ideas, and actively shape how the platform evolves. This is not an observation role, you will work on the same codebase and infrastructure as the rest of the team. What You Will Work On Deploy, configure, and maintain shared AI Hub instances across Azure and AWS Build and test platform tools, functions, and custom AI agents based on specifications Monitor platform health, uptime, logs, and configuration consistency across all deployed AI Hub instances Build health-check, alerting, and reporting scripts that track version parity, uptime, cloud usage, and deployment status Support containerized application deployment, environment configuration, secrets handling, and rollback processes Implement and validate integrations with infrastructure and enterprise services such as MCP servers, Git/Bitbucket, Microsoft Graph, and data providers Write deployment guides, runbooks, and onboarding documentation for new companies joining the platform Monitor core platform and dependency releases, then summarize operational impact, upgrade steps, and risks for the group Requirements What We Are Looking For Required Currently enrolled in a Master's program in Computer Science, Data Science, AI/ML, Software Engineering, or related field Strong Python skills, comfortable writing scripts, calling APIs, and building small applications Comfortable with Bash/shell scripting and working in a Linux terminal Basic familiarity with cloud infrastructure and application deployment on Azu