Job
- Level
- Experienced
- Job Field
- IT, DevOps, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Cologne
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you develop the AI Hub platform, ensure its stability and integration, support L1 teams, manage versions, document processes, and assist with cloud operations.
Job Technologies
Your role in the team
- You are a core member of the AI Core team, owning the infrastructure that powers AI adoption across 55+ portfolio companies.
- Your focus is the AI Hub platform (Open WebUI): you keep it running, deploy new instances, build and validate integrations at HQ level, and make sure every company in the group gets a stable, well-configured environment.
- We build the AI Hub as a product and support to ship it in every company.
- Each company owns their HUB and administers it (L1 Support).
- You are part of the central team that drives features and changes that are of high value for all hubs in the portfolio.
- In addition, you are part of the team that serves as the center of expertise (L2 Support) and give guidance and hands-on support when the first level teams need you.
- Platform engineering: new integrations, container images, infrastructure-as-code, deployment tooling and security patches.
- Release qualification: when the upstream project ships a new version, you assess it (one-way database migrations, breaking changes, patch compatibility), validate it on a canary, and publish a qualified release with notes that an L1 can act on.
- Shared infrastructure: Application Gateway, WAF policies, TLS certificates, Redis, DNS and network peering.
- Enable the L1 network and be their technical point of contact: write the developer guides, run onboarding and office hours, and build preflight checks and guardrails that make it safe for a platform admin to deploy and operate their own Hub.
- Integrations Catalog stewardship: versioned artefacts (tools, skills, agents, integrations) each shipped with a user guide for AI Champions and a developer guide for platform admins.
- Fleet observability: reporting and alerting version parity, uptime, cloud spend and deployment status across all companies.
- Own the eval service: the service itself, the quality of judges and generators, and the methodology platforms use to measure whether their agents do the work.
- Close the loop. Shipping is the beginning. Your designs gather operational signals from the fleet and feed a continuous improvement cycle.
This text has been machine translated. Show original
Our expectations of you
Qualifications
- Infrastructure as Code in production: Bicep, Terraform, CDK or CloudFormation.
- Strong Python skills beyond scripting: you have built and maintained small production services, worked with APIs, and found your way around unfamiliar codebases.
- Comfortable with Linux, Docker, Git and CI/CD as everyday working tools.
- Working knowledge of databases and identity: PostgreSQL in production, and OAuth / SSO / Entra ID concepts.
- AI-native: you use LLMs as tools, understand their operational properties, and have shipped something with them.
- English (fluent): primary working language across the team; German conversational is a plus.
- Clear technical writing: Enabling others is a real part of this role and good documentation is part of the work rather than an afterthought.
- Arbeiten in Multi-Tenant- oder Multi-Kunden-Cloud-Umgebungen.
- Contributions to open-source projects, or maintaining a modified version of one in production.
- French language skills: a share of our portfolio is in France and growing.
Experience
- At least 2 years of professional experience in platform engineering, DevOps, SRE, or cloud operations, including ownership of production systems that others depend on.
- Erfahrung mit Cloud-Produktion auf Azure oder AWS.
- Experience building internal platforms or tooling used by other engineering teams.
- Practical experience with LLM frameworks, agents, MCP or RAG systems in production.
This text has been machine translated. Show original
What we offer
- A role that shapes the AI backbone for more than 50 software companies across Europe.
- Become part of CHAPTERS Group, a German serial acquirer with 10x growth in the past five years and high ambitions for what comes next.
- A small, high-ownership team: decisions get made fast, your work ships to production.
- You are part of the CTO office with a direct line to the leadership team.
- Tägliche Arbeit mit modernsten KI-Technologien.
- Space to define how AI gets integrated into operational business systems at group scale: early-stage work with lasting impact across 55+ companies.
- Permanent full-time position, remote-first with the option to join the team in the Cologne office.
- A clear path to grow with us: we look for ambitious people who want to build a career, not just take a role.
- We actively invest in your development: talent reviews, events, conferences, etc.
This text has been machine translated. Show original
Topics You Will Work On
Job Locations
About Your Employer
Chapters Group Ag
CHAPTERS Group AG, based in Hamburg, is a publicly traded holding company that focuses on the development and management of software companies. Since its founding in 2018, it has specialized in mission-critical software solutions for various industries and has established itself as a reputable firm.
Description
- Company Type
- Established Company
- Industry
- Internet, IT, Telecommunication
AI Platform Engineer
- Location
- Cologne
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
