Design and develop AI use cases for internal processes or client facing product features using up to date GenAI technologies based on LLMs & RAG
Develop and maintain the technical AI and machine learning infrastructure for deploying AI-enabled solutions in the cloud
Build AI and data features in close collaboration with product engineering teams
Implement end-to-end efficient data and AI pipelines according to our data consumers‘ needs up to consumable data & AI products
Own the technical implementation and components of your team as well as their operation and maintenance
Act as a consultant for other technical teams with regards to usage of GenAI models, tools, and agents

University degree in a technical field: computer science, business informatics, natural sciences, or similar
Expert knowledge on state-of-the-art AI use cases, agentic applications and best practices
Expert knowledge in machine learning, generative AI, LLMs & RAG, AI agents and related technical tools (OpenAI, LangChain, Langfuse …)
Very good python & SQL programming skills, Java is a plus
Deep technical knowledge of modern cloud based AI platforms (GCP/AWS)
Deep knowledge of software engineering best practices—from requirements specification, version control, CI/CD, and testing to deployment and monitoring of data pipelines and services
Familiarity with data & AI security, data regulations, data privacy requirements
Proactive, solution-oriented mindset, strong sense of ownership
Strong English communication and presentation skills, German is a plus
Interest in finance and fintech industry and a sense of humor.

AI Engineer

Key skills