AI Field Engineer

Meyandy LLC; Köln; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

CHAPTERS Group AG in Cologne seeks an AI Field Engineer to deploy and operate AI Hub integrations across portfolio companies. You’ll design production-grade AI solutions, maintain integrations with ERP and CRM, and ensure observability and reliability in cloud deployments.

Strong DevOps and Python skills, plus German and English proficiency, are essential for collaborating across groups. Experience with IaC, enterprise authentication, and AI frameworks is highly valued.

Qualifikationen

• At least 2 years of professional experience in a DevOps, backend engineering, or platform engineering role.
• Python fluency: you write clean, maintainable code and are comfortable owning a codebase
• Practical experience with cloud infrastructure & production deployments on Azure, AWS, or GCP
• Solid familiarity with Docker, REST APIs, Git, and CI/CD deployment workflows: including deploying and configuring containerised applications for end-customer environments
• AI-native: you work with LLMs, know their limits, and have shipped something real using them
• Strong communication skills: you translate technical decisions into business language and can work effectively with non-technical stakeholders
• German (native or C2) and English (fluent): both are used daily across teams and OpCos
• Bonus Experience integrating AI into ERP, CRM, or accounting systems
• Familiarity with agentic AI frameworks and tool-calling patterns
• Infrastructure as Code experience (Bicep, Terraform, or CloudFormation)
• Experience with enterprise authentication and identity (OAuth, SSO, Azure AD / Entra ID)
• Prior experience working across multiple companies or in a group / holding structure

Aufgaben

• Design and deploy production-grade AI solutions integrated into real operational systems: ERP, accounting tools, email inboxes, and legacy workflows
• Build, test, and maintain integrations with enterprise services including MCP servers, Microsoft Graph, Git/Bitbucket, and REST APIs
• Understand that shipping a solution is just the beginning; gather signals and feedback from operations for a continuous improvement cycle
• Ensure AI systems run with full observability: logging, alerting, and audit trails for non-technical stakeholders
• Work closely with AI Champions and portfolio teams to translate business needs into implementable AI solutions and enable champions to build more use cases
• Deploy, configure, and operate AI Hub instances (Open WebUI) for portfolio companies: onboarding, model setup, tool integrations, SSO, maintenance
• Support M&A to identify targets, automate outreach and assist Due Diligence of targets

Kenntnisse

DevOps

Backend engineering

Platform engineering

Python

Cloud infrastructure

Docker

REST APIs

CI/CD

LLMs / AI

Communication

German & English

IaC

OAuth / SSO

Azure AD / Entra ID

Git

Tools

Terraform

Bicep

CloudFormation

Jobbeschreibung

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 are part of the AI Core team but your work extends beyond it. Most of your time is spent embedded within one of our portfolio groups: responsible for deploying and operating the AI Hub for the companies within that group and integrating AI into their real business processes. Beyond this, you support the M&A team to develop AI driven use cases to support our acquisition strategy. You build production-grade systems, connect AI capabilities to existing infrastructure and make sure what gets deployed actually runs stably in the long term. You step in when complex AI use cases require real engineering work and changes to the companies cloud infrastructure.

What You Will Work On

• Design and deploy production-grade AI solutions integrated into real operational systems: ERP, accounting tools, email inboxes, and legacy workflows
• Build, test, and maintain integrations with enterprise services including MCP servers, Microsoft Graph, Git/Bitbucket, and REST APIs
• You understand that shipping a solution is just the beginning. Your designs gather signals and feedback from operations for a continuous improvement cycle.
• Ensure AI systems run with full observability: logging, alerting, and audit trails that let non-technical stakeholders understand what is happening.
• Work closely with AI Champions and portfolio group teams to translate business needs into implementable AI solutions and enable the Champions with your technical expertise to implement more use cases without your help in the future.
• Deploy, configure, and operate AI Hub instances (Open WebUI) for the portfolio companies within your assigned portfolio group: including onboarding, custom model setup, tool integrations, SSO, and ongoing maintenance.
• Support the M&A team to identify new targets, automate outreach and, support Due Diligence of new acquisition targets.

Requirements

• At least 2 years of professional experience in a DevOps, backend engineering, or platform engineering role
• Python fluency: you write clean, maintainable code and are comfortable owning a codebase
• Practical experience with cloud infrastructure & production deployments on Azure, AWS, or GCP
• Solid familiarity with Docker, REST APIs, Git, and CI/CD deployment workflows: including deploying and configuring containerised applications for end-customer environments
• AI-native: you work with LLMs, know their limits, and have shipped something real using them
• Strong communication skills: you translate technical decisions into business language and can work effectively with non-technical stakeholders
• German (native or C2) and English (fluent): both are used daily across teams and OpCos
• Bonus Experience integrating AI into ERP, CRM, or accounting systems
• Familiarity with agentic AI frameworks and tool-calling patterns
• Infrastructure as Code experience (Bicep, Terraform, or CloudFormation)
• Experience with enterprise authentication and identity (OAuth, SSO, Azure AD / Entra ID)
• Prior experience working across multiple companies or in a group / holding structure

Benefits

What You’ll Get A dual role with real variety: strategic platform work at group level combined … AI Field Engineer — CHAPTERS Group AG, Cologne.