Summary
✨ AI‑Generated
A machine learning engineering role focused on turning Generative AI capabilities into scalable, production-ready systems. You will build core components across data ingestion, preprocessing, and inference, deploy solutions securely in cloud environments, and collaborate with technical specialists and clients to solve practical business problems.
Highlights
Build production-ready Generative AI systems from data ingestion through inference, work with AI specialists and clients, and solve real-world problems using scalable cloud infrastructure.
Description
Build the systems behind the intelligence
At RebelsAI, we turn the promise of Generative AI into products that work.
We help organizations build real capabilities with AI, not just tools, but systems that scale, adapt and create impact.
Our machine learning engineers design and build the technical backbone of these solutions, from data preprocessing to secure cloud deployment.
We are looking for someone who knows how to bring AI into the real world.
Someone who understands the tech, sees the patterns and wants to build the next generation of intelligent infrastructure.
What you will do
As a machine learning engineer, you build the core components that power our GenAI solutions.
You work on everything from ingestion to inference, across scalable cloud environments.
Together with our consultants and clients, you turn business needs into smart, usable and production-ready systems.
You will
Work closely with AI Experts, Implementation Leads and clients to solve real problemsSet up infrastructure using containers, APIs and serverless componentsPreprocess, chunk and structure unstructured data for optimal use in prompts and context injectionDesign, build and deploy AI-based applications in the Microsoft Azure cloudConfigure and manage vector databases such as Pinecone or Azure AI SearchImplement retrieval-augmented generation flows using vector databases and embedding modelsDevelop orchestration logic for multi-step agents and tool-using language modelsMonitor system performance, latency, accuracy and costApply data privacy and security best practices across all layersExplore new GenAI frameworks and contribute to our engineering standardsAdopt AI-tools such as Cursor and MCP's to enhance your productivity
What you bring
You have a strong technical foundation and a curious mindset.
You are eager to build real things and see them used in the world.A degree in AI, Data Science, Computer Science or a related fieldStrong Python skills and experience/interest in building end-to-end applicationsA good understanding of machine learning principles and data analysisFamiliarity with LLM frameworks such as LangChainUnderstanding of embedding models and how vector search fits into retrieval-based systemsWorking knowledge of cloud environments such as Azure, GCP or AWSFluent in Dutch
The kind of Rebel we are looking for
You want to build things that work.
You enjoy solving technical challenges, experimenting with new tools and creating clean, reliable systems that others can use and scale.
You take ownership, move fast with focus and are not afraid to ask the questions that matter.
You are
Curious about how AI works and how to make it usefulConfident working independently and collaborativelyPractical and driven to get things liveOpen to feedback and eager to growPassionate about technology and how it can help people move forward
What we offer
A fast-growing team where your work shapes real AI productsRoom to experiment and work with the latest GenAI tools and techniquesA license for an AI coding tool of your choice, like Claude or CodexCompetitive salaryLaptop and travel expense reimbursementHybrid working with a home base in RotterdamFlexibility to work 4 or 5 days per weekA smart, kind and ambitious team that learns and builds together
Ready to build what is next
If this sounds like the kind of challenge you are looking for, we would love to meet.
Send us your resume and a short message about why this role fits you.
Want to learn more about us? Visit rebelsai.nl or check our updates on LinkedIn.
We welcome all backgrounds and perspectives.
‼️We know LinkedIn sometimes shows big numbers, but please don’t let that discourage you.
We’re hiring for multiple roles and personally review every single application.
Including yours.‼️