AI Solutions Engineer

The job

We are seeking an AI Solutions Engineer for our Customer Success & Operations Team. You will work on projects for clients in the public sector, healthcare, and critical infrastructure that use our platform for sovereign AI management. This ranges from pilots and production installations to implementing AI solutions, such as LLM chatbots or RAG systems, within UbiOps.

Your responsibilities include the installation, integration, and support of UbiOps on client infrastructure. You will develop AI solutions, provide onboarding and training, and translate customer feedback into new product features. You will also manage technical documentation and advise clients on the latest (open-source) GenAI models.

You are a versatile engineer with knowledge of GenAI, data science, and MLOps (we will teach you product knowledge). You have strong communication skills, are creative, and think in solutions. You enjoy sharing your expertise and are intrinsically motivated to help others.

You will be part of a multidisciplinary team of experts, with ample opportunity to explore new technologies. You'll have the freedom to shape your role and take on responsibilities that add the most value to our company.

We're looking for someone with a start-up/scale-up mindset who believes in the importance of safe, sovereign AI. You're adaptable and can easily adapt to rapidly changing markets, customer needs, and technological developments.

Your tasks & responsibilities

• Manage and execute UbiOps installation projects (including setting up cloud/on-prem environments and installing UbiOps)
• Design and scope UbiOps implementations at customers, often requiring integration with existing (cloud) infrastructure and IT systems
• Develop and deploy (custom) AI solutions in UbiOps and support our customers doing so
• Provide product feedback to our development team and help them to develop and test new features
• Respond to and resolve customer issues through different channels and ensure overall customer adoption and satisfaction
• Perform UbiOps (web) demo's, workshops, webinars and trainings and support customer trials and evaluations
• Support our sales team with your knowledge of our product, customers and market
• Identify content gaps and ensure documentation and support content is up to date
• Creating tutorials, training material, blog articles, customer stories and FAQs
• Maintain a deep understanding of our product and industry

Your profile

• Fluent in Dutch and English
• Experience in software engineering, AI/ML engineering, customer success, consultancy or a similar role (recent graduates are also welcome to apply if sufficient professional experience has been obtained during studies; committee work, part-time job, etc.)
• Bachelor's degree in Computer Science, AI/Data Science or other engineering discipline
• Python development skills
• Familiarity with data science, AI and MLOps practices and technologies
• Excellent communication, presentation and training/education skills
• Detailed worker and task manager
• Being able to explain (difficult) technologies in simple concepts
• Creative thinker able to turn user requirements into a fitting solution
• Supportive! All you want is happy customers and users
• Good writer of product documentation, tutorials and articles
• Willing to travel to customers for projects
• Experience at a software company and or start-up/scale-up is a big plus

What we offer

• Position for 32-40 hours per week, depending on your wishes
• Being part of an international, smart, diverse and inclusive team in a fast-growing scale-up, building and selling a great product!
• We work primarily with Kubernetes, Docker, Linux, Bash, Python, Git, GCP, AWS and on-premise infrastructure
• Plenty of room for self-development and learning new skills and technologies
• Flexible working hours, good coffee, healthy lunch and office snacks
• The hardware and software you need
• Regular team activities, trips, drinks and a pool competition
• Freedom to work from office & home and work flexible hours
• Office in an excellent location in The Hague, next to train station Laan van NOI
• Member of The Hague Tech and YES!Delft community of start-ups and scale-ups
• A competitive salary, incl. performance based bonus and generous cost compensation
• Stock appreciation rights

• Fluent in Dutch and English
• Experience in software engineering, AI/ML engineering, customer success, consultancy or a similar role (recent graduates are also welcome to apply if sufficient professional experience has been obtained during studies; committee work, part-time job, etc.)
• Bachelor's degree in Computer Science, AI/Data Science or other engineering discipline
• Python development skills
• Familiarity with data science, AI and MLOps practices and technologies
• Excellent communication, presentation and training/education skills
• Detailed worker and task manager
• Being able to explain (difficult) technologies in simple concepts
• Creative thinker able to turn user requirements into a fitting solution
• Supportive! All you want is happy customers and users
• Good writer of product documentation, tutorials and articles
• Willing to travel to customers for projects
• Experience at a software company and or start-up/scale-up is a big plus

• Position for 32-40 hours per week, depending on your wishes
• Being part of an international, smart, diverse and inclusive team in a fast-growing scale-up, building and selling a great product!
• We work primarily with Kubernetes, Docker, Linux, Bash, Python, Git, GCP, AWS and on-premise infrastructure
• Plenty of room for self-development and learning new skills and technologies
• Flexible working hours, good coffee, healthy lunch and office snacks
• The hardware and software you need
• Regular team activities, trips, drinks and a pool competition
• Freedom to work from office & home and work flexible hours
• Office in an excellent location in The Hague, next to train station Laan van NOI
• Member of The Hague Tech and YES!Delft community of start-ups and scale-ups
• A competitive salary, incl. performance based bonus and generous cost compensation
• Stock appreciation rights