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 Azure or AWS
Practical experience using LLMs via API (OpenAI, Anthropic, or similar)
Familiarity with Docker, REST APIs, Git, and deployment workflows
Ability to read and work from technical documentation independently
Strong written communication in English (fluent) and German (fluent)

Bonus

Cloud platform certifications in Azure, AWS, or Google Cloud are a plus, especially when paired with hands-on deployment or operations experience
Experience with cloud application platforms, LangChain, LlamaIndex, or agentic AI frameworks
Infrastructure as Code awareness (Bicep, Terraform, CloudFormation)
Familiarity with authentication concepts (OAuth, SSO, JWT)
Experience with monitoring, logging, or cloud operations tools such as Azure Monitor or CloudWatch

Benefits

What You'll Get

Work on infrastructure and tooling that directly shapes how 55+ software companies adopt AI, your output has immediate, visible impact across the group
Become part of CHAPTERS Group, a German serial acquirer with 10x growth in the past five years and high ambitions for what comes next
Full integration into the AI Core team, contributing alongside senior engineers from day one, with a direct line to the CTO office
Hands-on experience building, deploying, and maintaining enterprise AI infrastructure across Azure and AWS in production
Access to enterprise AI tooling: Claude Code, Azure OpenAI, and a modern multi-cloud AI platform stack
Direct ownership of tasks with measurable impact, not support work or observation

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AI Platform Working Student at CHAPTERS Group AG