GenAI Python Engineer

Design, deliver and operate the AI platforms that power our customers' most critical systems

At Schuberg Philis, we do more than deliver IT solutions. We design, build and operate business-critical systems that our customers rely on every day. From infrastructure to cloud-native platforms, every layer is engineered for maximum reliability and quality. Working closely with our customers, we ensure their most important processes continue to run smoothly, no matter how complex the environment.

We are looking for an experienced GenAI Python Engineer to join a small, close-knit and self-managing team. Our mission is to design and develop advanced AI platforms, AI-powered solutions and applications that transform the way our customers operate across a variety of industries.

These platforms provide the foundation for innovation, reliability and scalability, supporting critical business processes in high-security environments. The solutions built on top of these platforms fundamentally change how our customers run their businesses.

Our Ideal Colleague Has Experience With oR Knowledge Of:

• At least 4-6 years of proven commercial experience in a professional software engineering environment.
• A good command of the Dutch language.
• Designing, building and maintaining Generative AI applications, including deploying and operating them in production using Python.
• Hands-on experience with GenAI frameworks, libraries or platforms such as LangChain, TensorFlow, PyTorch or FastAPI.
• Working with Generative AI models in production environments, both open-source and proprietary, including models such as GPT, Llama and Claude.
• Implementing and optimizing core GenAI components, including vector databases, embeddings, chunking strategies and evaluation frameworks.
• Driving architectural decisions and contributing to the long-term technical vision of a platform or product.
• Leading technology adoption and change management initiatives to ensure cutting-edge solutions deliver measurable business value.