Engineering Manager (AI Engineering & AI Platform)

• Shape the future of our AI Engineering and AI Platform capabilities within the Data Science and AI tribe
• We are building a new team of AI Software Engineers and AI Platform Engineers to bring AI use cases into production at scale
• We are looking for a passionate and motivated Engineering Manager to lead this newly formed team
• As the EM, you will play a key role in turning AI concepts, data science ideas, and business opportunities into scalable backend systems, cloud-native architectures, agentic workflows, and internal AI platform services
• We are not training models from scratch
• Instead, your team will integrate modern AI capabilities via APIs from providers such as OpenAI, Anthropic, Google, and others, and build the platform foundation required to use them securely, reliably, and cost-effectively
• Build and lead a new AI Engineering and AI Platform team, helping engineers grow and the team become self-organized, agile, and autonomous
• Provide technical direction for AI/LLM services, backend systems, AWS architectures, Terraform infrastructure, CI/CD pipelines, and agentic workflows
• Drive the end-to-end implementation of AI use cases, from ideation and technical scoping to delivery, rollout, monitoring, and maintenance
• Shape our internal AI platform for model access, MCP server integrations, observability, governance, rate limiting, and cost management
• Work closely with Data Science, Product, Engineering, Security, Platform, and business stakeholders to identify and deliver high-value AI use cases
• Establish engineering best practices for reliable, secure, maintainable, and production-grade AI systems
• Be part of the recruitment process to attract and onboard new colleagues for the team

Benefits

• Remote working opportunities - collaborate with your team no matter where you are in Germany: the majority of our jobs can be done working from home. So if you aren’t near one of our physical locations in Germany, check out if your job is eligible remotely
• Join an international and diverse, inclusive community - be part of a network of highly talented, diverse and motivated people, from more than 30 nationalities. We enjoy regular office parties & after work drinks, BBQs in the summer, weekly runs and much more
• Lounge around - take a break to relax on our terrace in Munich or in the Beergarden downstairs in Berlin. Enjoy fresh fruits, soft drinks, and tea daily, and if want, develop your Barista skills with our Espresso machine
• Gear and perks - work with the latest hardware (including a MacBook Pro or equivalent and your choice of headphones). We also support your workplace with the equipment that you need, either in the offices or at home
• Learn and grow - develop yourself further with a personal education budget and in-house knowledge sharing sessions with catered lunch. If you want to learn or improve your German language skills, you will like the free classes right in the office or our support for online classes
• Have an impact - ship features to thousands of users and work with leading financial institutions across Europe on a regular basis. Transform with us the traditional finance industry with the aim of democratizing investment management and brokerage- Excellent communication skills that are clear, concise, and tailored to engineering, product, and business stakeholders
• Experience with LangGraph, LiteLLM, Langfuse, Datadog, MCP servers, or similar technologies is a plus
• Understanding of AI platform topics such as observability, governance, data privacy, rate limiting, cost management, and secure LLM usage
• Extreme sense of ownership and a pragmatic, hands-on mentality
• Previous experience in software engineering, backend engineering, platform engineering, cloud engineering, or AI engineering
• Strong understanding of scalable backend systems, cloud-native architectures, API design, and modern software development practices
• A university degree in a relevant field, such as Computer Science, Software Engineering, Mathematics, Natural Sciences, or a comparable qualification
• Strong analytical thinking, both in the technical and business domain
• Hands-on experience with Python, Docker, CI/CD pipelines, cloud infrastructure, and Infrastructure as Code, preferably AWS and Terraform
• Passion for people development, technical excellence, and building high-performing engineering teams
• Experience leading engineers as an Engineering Manager, Team Lead, Tech Lead, or in a comparable role
• Good knowledge of modern AI system integration, including LLM APIs, agentic workflows, and production-grade AI services