• Build and scale core systems powering Tesorio’s platform. You’ll own problems end-to-end, ship quickly in a low-structure environment, and work across backend, APIs, and frontend. • Ship **end-to-end features** across backend, APIs, and frontend • Design and evolve **scalable backend systems** for complex financial workflows • Turn ambiguous problems into **clear, practical solutions** • Work closely with Product and Design to deliver **customer impact** • Make sound tradeoffs between **speed, quality, and long-term scalability**

Role Description As an AI Software Engineer in our Data Science team, you will help design and deliver scalable backend and cloud systems that power our AI-driven products and services. You will design and build scalable, production-grade systems and APIs, with a focus on integrating modern AI capabilities (via APIs from OpenAI, Anthropic, Google, etc.) into real-world applications. We are not training models from scratch — instead, you will work on agentic AI systems, orchestration workflows, and cloud-native architectures that bring AI into production at scale. In this newly formed work stream, you will have the unique opportunity to lay the foundations and set the right technical direction. Responsibilities - Develop and maintain AI/LLM services for internal and potential client-facing services, following software engineering best practices - Design and develop appropriate architectures for deploying and maintaining scalable AI-enabled solutions on AWS - Extend our Terraform infrastructure and CI/CD pipelines - Design and implement testing and monitoring components to ensure the accuracy, reliability, and performance of AI-integrated systems - Work with modern agentic workflow orchestration frameworks (e.g., LangGraph) to build intelligent workflows - Collaborate with cross-functional teams to ensure the successful integration of AI-driven features into our product - Stay up to date with the latest industry developments in AI integration, cloud architecture, and scalable backend systems Qualifications - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field - Several years of professional software development experience with Python - A generalist mindset with the ability to quickly learn, adapt to new topics, and switch between domains such as infrastructure and backend engineering - Experience with Docker, building CI/CD pipelines, and version control systems - Confidence in working with cloud infrastructure (AWS preferred) and Infrastructure as Code (Terraform) - Familiarity with modern agentic workflow orchestration frameworks (e.g., LangGraph) would be a plus - Strong problem-solving skills, organizational skills, and a hands-on mentality Benefits - Be part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that have a substantial impact on the lives of our customers - Work with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clients - Be productive with the latest hardware and tools - Learn and grow by joining our in-house knowledge sharing or career development sessions and spending your individual Education Budget - Learn and experience German culture first hand by joining our free German language classes - International relocation support is provided if required - Opportunity to work from abroad - Benefit from an attractive compensation package and from the company pension scheme - Monthly contribution of 50% for the ‘Deutschland Jobticket’ - Say goodbye to order commissions and say hello to your complimentary subscription of Scalable Capital's PRIME+ Broker - Enjoy flexible and discounted sports activities with Urban Sports Club

• Provide a reliable, scalable, and easy to use training framework for modeling needs of Stack AV. • Build tools for testing, validation, and understanding models and the data used to train them. • Optimize and deploy models.

• Translate high-level architecture direction into scalable, maintainable software designs • Guide the engineering team to deliver high-quality, observable, and testable code aligned with product and architectural goals • Combine system design, engineering leadership, and operational ownership • Work closely with product, platform, and engineering teams