AI Platform Engineer

Role Overview

• Design and build AI components — from concept to production
• Scale and optimize existing AI solutions (performance, cost, stability — the full triathlon package)
• Develop data pipelines, backends & APIs that feel good (for users and for logs)
• Automate CI/CD and deployments so releases don't turn into an adventure
• Ensure quality & performance — including continuous optimization of backend processes and NLP pipelines
• Work closely with Product to turn data-driven insights into market-ready features

Requirements

• Degree in Computer Science/Mathematics/Statistics/Business Informatics or equivalent experience
• Several years of experience in Python and object-oriented development, including architectural patterns
• Strong knowledge of FastAPI and scalable backend systems
• Practical experience with machine learning/NLP applications and production-grade data solutions
• Cloud knowledge (e.g., AWS/Azure) plus Docker/Kubernetes
• Confident use of Git, modern developer tools (e.g., VS Code), and CI/CD (e.g., GitLab)
• Proficient communication in German & English

Tech Stack

• AWS
• Azure
• Cloud
• Docker
• Kubernetes
• Python

Benefits

• Flexible working arrangements + home office option
• Urban Sports Club access
• Attractive compensation packages
• Training & growth: courses, dedicated learning time, knowledge exchange
• Flat hierarchies, short communication lines, fast decision-making