Full-stack AI Engineer

# Full-stack AI Engineer

## The role
We are seeking a Full-stack AI Engineer for our Customer Success & Operations Team. You will work on projects for customers in the public sector, healthcare and critical infrastructure who use our platform for sovereign AI management. This ranges from pilots and production deployments to implementing AI solutions, such as LLM chatbots or RAG systems, within UbiOps.

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

## Tasks & responsibilities

• Manage and execute UbiOps installation projects (including setting up cloud/on-premises environments and deploying UbiOps)
• Design and determine the scope of UbiOps implementations for customers, often requiring integration with existing cloud infrastructure and IT systems
• Develop and implement custom AI solutions in UbiOps and support our customers in doing so
• Provide product feedback to our development team and help them develop and test new features
• Respond to and resolve customer issues through various channels and ensure overall customer acceptance and satisfaction
• Conduct UbiOps web demos, workshops, webinars and training sessions and support customer testing and evaluations
• Support our sales team with your knowledge of our product, our customers and the market
• Identify content gaps and ensure documentation and supporting materials are up-to-date
• Create tutorials, training materials, blog posts, customer case studies and frequently asked questions
• Keep your knowledge of our product and our industry current

## Profile

• Fluent in Dutch and English
• Experience in software engineering, AI/ML engineering, customer success, consultancy or a comparable role
• Bachelor's degree in Computer Science, AI/Data Science or another technical discipline
• Proficiency in Python development
• Familiarity with data science, AI and MLOps practices and technologies
• Excellent communication, presentation and training/education skills
• Detail-oriented and task manager
• Able to explain complex technologies in simple concepts
• Creative thinker who can translate user requirements into an appropriate solution
• Strong 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 plus