We are looking for a Full-stack AI Engineer who wants to play a key role in the adoption of sovereign AI in the Netherlands. As part of our Customer Success team, you will work on projects for customers in the public sector, healthcare and critical infrastructure. These range from proof-of-concepts using the latest AI techniques, such as LLM chatbots and RAG systems, to implementing and managing the UbiOps platform in production environments. Are you an all-round engineer with knowledge of GenAI, software engineering and infrastructure? (We will teach you the product knowledge.) Are you a strong and creative communicator who thinks in solutions? You enjoy sharing your expertise with customers just as much as building new things together with the team. You will be part of a multidisciplinary team of experts with plenty of room to explore new technologies. You have the freedom to shape your own role and to pick up the responsibilities that add the most value to our company. Design and define the (functional) scope of UbiOps implementations at customers, often requiring integration with existing (cloud) infrastructure and IT systems Design, develop and implement AI solutions (such as LLM chatbots and RAG systems) on the UbiOps platform, together with our customers Coordinate UbiOps installation projects at customers, including setting up cloud and on-premises environments and integrating with existing IT infrastructure Act as the technical point of contact for customers: solve problems, give demos, workshops and trainings, and ensure smooth adoption of the platform Translate customer feedback into product improvements and work with our development team on building and testing new features Support our sales team with your technical knowledge of the product, customers and market Bachelor’s degree in Computer Science, AI/Data Science or another technical discipline. A Master’s degree is a plus 3+ years of experience in software engineering, AI/ML engineering, customer success or a similar role Proficient in Python, Linux and containerization (Docker/Kubernetes), and experienced in working with APIs Familiar with GenAI and MLOps practices and technologies Excellent communication and training skills, able to explain technical topics clearly to customers Fluent in English, Dutch is a big plus Willing to travel to customers for projects within the Randstad Experience at a software company and/or start-up/scale-up is a plus Note: For this position, we will only consider candidates who are currently residing and/or working in the Netherlands. If you do not fulfill all the requirements but believe you would be a good fit, we encourage you to apply.