Mathematical Optimization AI Engineer

Smarter shifts, sharper schedules. Build the AI behind tomorrow’s workforce.

Every day, millions of non-desk workers show up, ready to achieve. Behind their success stands Dyflexis - because even champions need smart systems to stay ahead. At Dyflexis, we build workforce management solutions that keep hotels, stores and factories running smoothly. Simple, practical, and just what you need. No unnecessary complexity, no wasted time. Just straightforward tools that work where you work.

More than software

What truly sets us apart isn't just what we build, it's who we are: bold minds who dream big, build smart, and win together. We embrace Dutch directness because sugar-coating slows progress. Some people love the fire in our belly, others prefer to play it safe. We're looking for the bold and brave ready to build something extraordinary. Sounds like you?

As our Mathematical Optimization AI Engineer, you’ll strengthen our Innovation Lab by building, scaling and refining smart planning features, from auto-scheduling to long-term forecasting. Features that deliver real impact for thousands of non-desk teams across Europe.

This is what you'll do

You’ll work in focused project squads (with a Product Owner, UX Designer and fellow Engineers) to build, test and scale AI features that directly improve workforce planning. You’ll work in six-week sprints of focused building, followed by two weeks of cooldown to gather feedback, refine features, and prepare for the next big win.

Your closest sparring partner will be Jord, our pioneering AI Engineer. Together, you’ll tackle challenges like scaling auto-scheduling for all clients, training ML models in the cloud, and tailoring industry-specific workflows. You’ll decide when retraining is needed, speed up Shift-Assign, and experiment with long-term demand prediction (3–12 months). You’ll lead technical initiatives, translate research into scalable solutions, and work cross-functionally with product and customer-facing teams. And as Dyflexis expands internationally, you’ll help grow both the AI team and the technology that powers it.

This is what you need

• 3+ years of experience with mathematical optimization (linear programming/constraint programming ) or operations research, or econometrics
• Strong background in machine learning, AI engineering, and data-driven development
• Comfortable translating research into clear, scalable solutions
• Experience with Python, cloud and tools like OR-Tools, Gurobi
• Familiarity with CI/CD workflows (plus!)
• A structured mindset with a pragmatic approach to real-world complexity
• Ability to lead technical projects, collaborate cross-functionally, and own your work
• Fluent in English; Dutch is a plus

This is the important part

• A salary up to €6,000 per month
• 25 vacation days plus your birthday off in exchange for cake
• 8% holiday allowance
• Solid pension plan
• Personal development budget
• Option to buy or sell vacation days
• Travel allowance
• Daily chef-cooked lunches at HQ
• Free membership at ARJ Boxing Gym
• Friday chair massages
• The best team parties, drinks, and trips (think winter sports, Ibiza and more)

Ready to turn big ideas into real product impact?

Apply by clicking the big green button. No cover letter needed – just answer a few quick questions and send us your CV in English. We will get back to you within three days and tell our chef to set an extra plate.