Within the CTO division, we operate and develop the group-wide IT infrastructure, including networks, data centers, our AI-driven SDLC platform, cloud environments, Group Data & Advanced Analytics, and Enterprise Architecture. These key functions play a central role in the overall Deutsche Börse Group strategy.

We are seeking a passionate and driven AI/ML Engineer to be at the forefront of implementing cutting-edge AI capabilities. In this role, you will translate architectural concepts into functional intelligent agents and AI-powered services, contributing to our new AI-driven Software Development Life Cycle (SDLC) and delivering robust, scalable, and production-ready AI solutions that redefine our internal processes.

As an AI/ML Engineer, you will collaborate with highly experienced senior developers and DevSecOps experts, working with innovative technologies to accelerate the transformation and digitalization of the Deutsche Börse Group.

• Design and develop AI use cases using modern Large Language Models (LLMs).
• Build and implement Python-based AI services and applications using frameworks such as FastAPI.
• Fine-tune and optimize prompts to improve the accuracy, reliability, and performance of AI agents.
• Design, orchestrate, and manage agentic workflows and complex LLM call sequences.
• Integrate AI services with vector databases (e.g., Vertex AI Vector Search) to create powerful knowledge bases.
• Write clean, testable, and production-grade code suitable for large-scale deployment.
• Collaborate closely with backend and DevSecOps teams to ensure seamless integration and deployment of AI-focused solutions.

• Bachelor’s degree in Computer Science, Engineering, or a related field, with strong expertise in AI, cloud, web development, and DevSecOps toolchains.
• Expert-level programming skills in Python or Java.
• Hands-on experience with DevOps tools such as GitHub, GHAS, Artifactory, Jenkins, Maven, Terraform, Fortify, SonarQube, Black Duck, and Aquasec.
• Deep understanding of AI frameworks, GenAI concepts, and machine learning techniques, with practical experience using Large Language Models (e.g., Google Gemini, OpenAI ChatGPT, Anthropic Claude).
• A strong “builder mentality” with a product-oriented mindset and a drive to deliver high-quality features.
• Excellent communication, analytical thinking, and problem-solving skills, with the ability to work both independently and collaboratively.
• Nice-to-have skills include experience deploying ML models into production, familiarity with containerization (e.g., Docker), and knowledge of the German language.