Key skills
KubernetesCAIMLGenAILLMOllamaWorkdayStakeholder Management
About this role
Role Overview
- Design and implementation of production-ready AI and agent systems
- Development of modern architectures around LLMs, knowledge graphs, and data integration
- Operation and scaling of AI workloads on Kubernetes
- Responsibility for deploying and optimizing on-prem LLMs (e.g., vLLM, Ollama)
- Leading architecture workshops and advising clients up to C-level
- Making informed technology decisions and evaluating new frameworks
- Active contribution to shaping the AI portfolio
Requirements
- Several years of experience implementing AI/ML or GenAI projects
- Hands-on experience with LLM
- or agent-based systems in production-like environments
- Experience in architecture work and client projects (e.g., workshops, stakeholder management)
- Technical focus on GenAI/LLM systems, agent-based architectures, knowledge graphs, and data/backend integration
- Experience with Kubernetes, inference stacks, or observability
- Fluent German (C1 level) in speaking and writing; very good English is a plus.
Tech Stack
- Kubernetes
Benefits
- Be part of something big!
- Exciting, hands-on projects.
- Flat hierarchies.
- Training and frequent conference attendance.
- Flexibility in the workday.
- Modern equipment.
- Communal cooking in a fully equipped kitchen.
- JobBike financing and EV charging facilities.
- Fresh fruit and drinks.