Engineering Manager - AI Engineering & AI Platform

Shape the future of AI Engineering and AI Platform capabilities within the Data Science and AI tribe. You will lead a newly formed team of AI Software Engineers and AI Platform Engineers to bring AI use cases into production at scale, turning AI concepts, data science ideas, and business opportunities into scalable backend systems, cloud-native architectures, agentic workflows, and internal AI platform services.

What you'll do

• 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

What you'll need

• A university degree in a relevant field, such as Computer Science, Software Engineering, Mathematics, Natural Sciences, or a comparable qualification
• Previous experience in software engineering, backend engineering, platform engineering, cloud engineering, or AI engineering
• Experience leading engineers as an Engineering Manager, Team Lead, Tech Lead, or in a comparable role
• Strong understanding of scalable backend systems, cloud-native architectures, API design, and modern software development practices
• Good knowledge of modern AI system integration, including LLM APIs, agentic workflows, and production-grade AI services
• Hands-on experience with Python, Docker, CI/CD pipelines, cloud infrastructure, and Infrastructure as Code, preferably AWS and Terraform
• Understanding of AI platform topics such as observability, governance, data privacy, rate limiting, cost management, and secure LLM usage
• Passion for people development, technical excellence, and building high-performing engineering teams

Nice to have

• Experience with LangGraph, LiteLLM, Langfuse, Datadog, MCP servers, or similar technologies

What they offer

• Work with a fast-growing fintech startup with substantial impact on customer lives
• Latest hardware, tools, and individual Education Budget
• German language classes and international relocation support
• Flexible work from abroad and attractive compensation package with pension scheme
• 50% Deutschland Jobticket contribution and complimentary PRIME+ Broker subscription
• Flexible and discounted sports activities with Urban Sports Club