• Design and build AI capabilities within our Internal Developer Platform, enabling developers to safely and efficiently use AI throughout the software development lifecycle.
  This includes building reusable AI platform services, APIs, and integrations that provide secure and scalable access to AI models and assistants.
• Integrate AI capabilities into developer workflows and platform tooling to improve productivity and developer experience.

         Examples include:

• • AI-assisted code generation and review
  • AI-supported documentation and knowledge retrieval
  • AI-based test generation and quality improvements
  • AI-assisted incident analysis and operational insights

• Design and implement reusable AI platform components such as:
  
  • LLM gateways and AI service APIs
  • Prompt and knowledge management
  • Model routing and integration layers
  • AI guardrails and usage governance

• Enable product teams to easily adopt AI capabilities by providing well-designed self-service tools, APIs, and platform abstractions.
  Your goal is to ensure that AI becomes a native part of the developer platform, integrated into:
  • CI/CD pipelines
  • developer tooling
  • platform services
  • engineering workflows

• Ensure that AI usage across the platform follows enterprise-grade security, compliance, and governance standards.
  This includes:
• • secure access to AI services
  • model usage policies and guardrails
  • protection of sensitive data
  • cost and usage transparency

• Implement monitoring and observability for AI services and integrations to ensure reliability, performance, and cost transparency.

• Several years of experience in Platform Engineering, Cloud Engineering, or DevOps, ideally with experience building internal platforms or developer tooling.
• Strong interest or practical experience in integrating AI/LLM capabilities into engineering workflows or developer platforms.
• Experience working with cloud platforms and cloud-native architectures.
• Experience building APIs, platform services, and automation for developer enablement.
• Familiarity with LLM-based technologies, such as:
      - AI assistants
      - embeddings
      - vector databases
      - Retrieval-Augmented Generation (RAG)

• Experience integrating and operating AI services from LLM providers and in self-managed cloud/infrastructure.
• Knowledge of Kubernetes and container-based platforms.
• Experience with Infrastructure-as-Code.
• Experience to set up development environments in the public or private cloud infrastructure for enterprise AI development infra & governance such as Coder/GitLab
• Experience working with CI/CD systems such as GitLab CI.
• Programming skills in Python, Go, or similar languages.
• Strong interest in improving Developer Experience (DevEx) and enabling product teams through platform capabilities.
• Strong communication skills and a collaborative mindset to work effectively across teams

• An unique opportunity to shape AI capabilities within our Internal Developer Platform from the ground up.
• Full ownership and real impact in a technically ambitious platform environment.
• The chance to enable AI-driven software delivery across the organization.
• A strong focus on automation, platform engineering, and developer experience.
• Flexible working hours and remote work options.
• Modern tools and resources to support your best work.

Ms. Nicole Schulz
Kurfürstenstraße 58
45138 Essen 

 
If you would like to work at the forefront of technological development, in an environment characterized by trust and fairness, we should get to know each other. We look forward to receiving your complete application, in which you please specify your notice period, salary expectations, and the reference number 3450/F.