AI Engineer

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flatexDEGIRO SE operates the leading and fastest growing online brokerage platform in Europe. Based on modern, in-house state-of-the-art technology, customers of the flatex and DEGIRO brands are offered a wide range of independent products with execution on top TIER 1 exchanges. The technological edge, high efficiency and strong economies of scale enable us to continuously improve our service offering for clients and to set leading standards in terms of product, price and platform quality.

With more than 3,5 million customer accounts and more than 75 million securities transactions processed in 2025, flatexDEGIRO is the largest retail online broker in Europe. In times of bank consolidation, growing digitalization and the immanent need of millions of Europeans to take their financial future into their own hands, flatexDEGIRO is ideally positioned for further profitable growth.

Want to know what it’s like to work for flatexDEGIRO?

At flatexDEGIRO, we're taking AI beyond isolated experiments and individual applications. Our ambition is to create a scalable, secure, and self-service AI environment where business and technology teams across the company can independently build, integrate, and use AI capabilities to solve real problems. As an AI Engineer
, you will join our growing AI Hub to help make this vision a reality. You'll build production-ready AI applications, develop reusable platform components, and create the technical foundations that make AI accessible, reliable, and scalable across the organization. We're not looking for someone who simply knows how to experiment with AI. We're looking for a strong software engineer who knows how to build things that last.

Our AI Hub is still evolving, you won't simply be stepping into an established engineering environment. You'll have the opportunity to help shape the shared AI Platform, influence engineering standards, and build capabilities that enable teams across the company to innovate independently.

Design, build, and maintain production-grade AI applications using Python, modern software engineering practices, and reusable architectural patterns.

Develop intelligent applications using LLMs, Retrieval-Augmented Generation (RAG), tool calling, and agentic AI
, including orchestration, context management, and integration with external systems.

Build APIs, connectors, and integration layers that connect AI capabilities with enterprise applications, business processes, and internal data sources.

Design and implement retrieval solutions involving data ingestion, transformation, embeddings, vector databases, semantic search, and retrieval strategies.

Develop secure and scalable data integration pipelines that make structured and unstructured enterprise data accessible to AI applications.

Package, deploy, and operate AI services using Docker, Kubernetes, Helm, and CI/CD pipelines
, ensuring consistent and reliable delivery across environments.

Build automated testing,
LLM evaluation, and regression testing frameworks to continuously assess and improve AI output quality, accuracy, and reliability.

Implement monitoring and observability to track AI response quality, latency, performance, system behaviour, and operational stability.

Take end-to-end technical ownership of AI solutions, from initial experimentation and development to production deployment, troubleshooting, and continuous improvement.

Develop reusable libraries, services, integration patterns, and engineering templates that contribute to the evolution of our shared AI Platform.

Work closely with other AI engineers, product teams, architecture, infrastructure, and security colleagues to solve technical challenges and deliver…