AI Platform Engineer

ANGEHEUERT ⚓ | Recruiting as a Service & Employer Branding

. Further develop the internal AI Hub based on Open WebUI .

Posted 10/18/2026full-timeCologne • GermanyJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Platform Engineering and DevOps with a focus on AI solutions, cloud infrastructure automation, and security. Proficient in Infrastructure as Code and experienced in managing production systems across cloud environments.

Highest-signal resume keywords

Platform EngineeringInfrastructure As CodeAI Solutions ImplementationCloud OperationsPython Proficiency

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

LinuxDockerGitCI/CDPostgreSQLBicepTerraformCDKCloudFormationLLMs

Soft Skills

Solution-Oriented ApproachStructured ThinkingEnthusiasm for Technical Challenges

Tools & Technologies

AzureAWSApplication GatewayWAFTLSRedisDNSOAuthSSOEntra ID

Industry Keywords

Cloud InfrastructureMulti-Tenant EnvironmentsOpen-Source ProjectsInternal PlatformsTechnical Documentation

Tech Stack

Tools & technologies

AWSAzureCloudDNSDockerLinuxOpen SourcePostgresPythonRedisTerraform

About the role

Key responsibilities & impact

Further develop the internal AI Hub based on Open WebUI
Provide and continuously expand the platform for various portfolio companies
Develop new integrations, container images, and deployment solutions
Maintain and expand the catalog of tools, skills, agents, and integrations
Further develop the evaluation system for measuring and improving AI agents
Automate and further develop cloud infrastructure using Infrastructure as Code
Test new versions, assess technical changes, and release stable versions
Manage shared cloud components such as Application Gateway, WAF, TLS, Redis, DNS, and network connections
Implement security patches and further develop secure platform structures
Monitor availability, versions, deployments, and cloud costs across all instances
Create technical documentation, support onboarding, and build preflight checks and guardrails

Requirements

What you’ll need

At least 2 years of experience in Platform Engineering, DevOps, SRE, or Cloud Operations, with responsibility for production systems
Hands-on experience with LLMs and a track record of implementing AI solutions
Practical experience with Azure or AWS
Experience with Infrastructure as Code, including Bicep, Terraform, CDK, or CloudFormation
Proficiency in Linux, Docker, Git, and CI/CD
Experience with PostgreSQL and OAuth, SSO, or Entra ID
Strong Python skills beyond traditional scripting
Independent, structured, and solution-oriented approach, with enthusiasm for technical challenges
Business-fluent German and English
Nice to have: Experience with internal platforms and multi-tenant or multi-customer cloud environments
Nice to have: Exposure to LLM frameworks, agents, MCP, or RAG
Nice to have: Experience with open-source projects
Nice to have: French language skills

Benefits

Comp & perks

Up to 95% remote work, with at least one day per month in the Cologne office
A high degree of autonomy in organizing your working day
Modern work culture with short decision-making processes and an ambitious team
Direct impact on an AI platform used across the entire company portfolio
Direct collaboration with the C-level
Attractive compensation consisting of a fixed base salary and performance-related component
Permanent employment contract
Six-month probationary period
40-hour workweek
30 days of annual leave