Medior AI Product Engineer (Full-Stack)

Amsterdam - Hybrid (minimum 50% at the office)

36-40 hours per week

€3,800–€4,800 gross per month, based on 40 hours and depending on experience

Futurewhiz is a B Corp

Generative AI can create textbook content in seconds. Producing content that is accurate, curriculum-aligned, editable and trusted by authors and editors—and doing so reliably at scale is much harder. That is the challenge you will help us solve.

Futurewhiz is looking for a Medior AI Product Engineer to build practical AI-powered tools for educational content creation. You will turn promising experiments into dependable software that people can use in real publishing workflows. This is primarily a software engineering role, but not one where you wait for fully specified tickets: you will help investigate problems, shape solutions, test ideas and decide what is worth building.

You do not need to be an expert in every part of the stack. You do need enough practical experience to own and ship software with a good degree of independence, plus the curiosity to use AI tools thoughtfully when working beyond the edges of your existing expertise.

About Futurewhiz

For nearly 15 years, Futurewhiz has been the market leader in EdTech in the Netherlands. Our brands – including Squla and StudyGo – help children and teenagers aged 3 to 18 learn and grow at their own level and pace. Our mission is clear: "Empowering every child to grow." We’ve been a certified B Corp since 2020, which means we strive for a strong balance between purpose and profit.

Your role as Medior AI Product Engineer

You will join the Futurewhiz Content Automation team and work closely with software engineers, editorial specialists and colleagues at a major educational publisher. Together, you will improve the workflows used to create and maintain high-quality learning materials, including textbooks and digital content.

Each cross-functional team focuses on a particular part of the publishing workflow. The team studies where time, quality or cost is being lost; tests possible improvements with users; and builds the solutions that show the most promise. Once the best opportunities in one area have been addressed, the team may move to another part of the workflow.

Your editorial colleague will lead much of the specialist research, such as interviewing authors and editors, testing editorial concepts and mapping publishing workflows. You will participate where technical understanding or rapid prototyping is valuable, but your primary responsibility is to design, build and operate the software.

Specifically, you will:

• Build and own AI-assisted applications from early prototype through to reliable production use

• Develop across the stack: Python services and APIs, data flows, user-facing interfaces and the infrastructure needed to run them

• Build and improve LLM and agent-based workflows, including prompts, evaluations, feedback loops and safeguards

• Turn findings from editorial research and user testing into practical technical approaches

• Create small experiments to resolve uncertainty before committing to larger builds

• Integrate new tools into existing publishing systems and contribute reusable components to our content-automation platform

• Use AI coding tools as part of your everyday work while reviewing, testing and taking responsibility for the resulting software

• Deploy, monitor and troubleshoot what you build, balancing quality, reliability, speed and cost

• Contribute to architecture, CI/CD, security, code quality and technical decision-making within the team

• Travel to Groningen for one or two days approximately once every two months to work with colleagues there

There is no separate team waiting to take over UX, infrastructure or operations. You will have support from experienced colleagues, but the product team owns its solutions end to end and deliberately keeps them as simple as possible.

What success looks like

In your first three months, we would expect you to:

• Understand the users, workflow and technical environment in your initial problem area

• Ship a useful prototype or product improvement and evaluate it with real users

• Take ownership of a defined part of the product, including its deployment and operation

• Build productive working relationships with both technical and publishing colleagues

As you become established, success means being able to take a validated idea from prototype to dependable everyday use with increasing independence. The clearest measure of your work will be whether the tools you build help the team generate high-quality educational content more reliably, quickly or efficiently.

Who are you?

We care more about what you can own and build than about a particular number of years. This role could suit an early-career or medior engineer who has already shipped real software and is ready for meaningful independence. It is not a traineeship, and we do not expect to provide step-by-step technical direction.

You are likely to thrive here if you:

• Have hands‑on experience building and shipping web applications or software products

• Are confident with Python and comfortable moving between backend, frontend and infrastructure work

• Use AI tools actively and critically to develop faster, learn unfamiliar areas and improve your work

• Are interested in LLM‑powered products and have experimented with model APIs, agent workflows or similar technology

• Think like a product builder: you clarify the problem, suggest options and test assumptions rather than waiting for a detailed specification

• Can move quickly when exploring an idea and apply sound engineering judgement when it is time to make the solution durable

• Can independently own a well‑defined problem while recognising when input from colleagues will improve the outcome

• Enjoy collaborating with non‑technical specialists and can explain technical choices in plain language

• Stay pragmatic and constructive when priorities are uncertain or several stakeholders have different views

• Have an affinity for education and want your work to improve how learning materials are made

Experience with React or TypeScript, cloud infrastructure, containers, CI/CD, LLM evaluation, data analysis or applied machine learning would be useful, but none is an absolute requirement. Experience in education, publishing or content systems is welcome but not expected.

What do we offer?

• A gross monthly salary of €3,800–€4,800, based on 40 hours and depending on experience

• 24 vacation days + 3 assigned days off + 1 skipping school day

• Collective pension and health insurance

• A €600 annual learning budget for your professional development

• Unlimited access to external coaches through Inuka Coaching

• Unlimited access to Goodhabitz training programs for professional and personal growth

Additionally:

• Lifetime access to StudyGo and Squla accounts

• Office next to Bijlmer Arena station (with the possibility of getting a Swapfiets or an OV business card if you live over 7km from the office)

• A MacBook for work

• Payroll Giving option to contribute to a good cause

• Healthy lunches at the office, unlimited good coffee, fresh fruit, and snacks

• A Culture Crew that organizes fun activities like outings, pub quizzes, ski trips, and laser tag

Who are we?

We are a passionate and diverse team united by a shared mission: helping children thrive in their learning journey and empowering them to grow through personalised education.

Our culture is welcoming and authentic. We believe people do their best work when they can be themselves, and we actively value different backgrounds, ideas, experiences and perspectives. This diversity helps us serve young learners more effectively, regardless of who they are.

Our platforms are for everyone, and the same applies to our workplace. Everyone is welcome on this journey.

How we work with AI

At Futurewhiz, AI is not a side project. We use it throughout our work to move faster, explore more possibilities and improve the support we provide to children, parents, teachers, authors and editors.

For this role, being AI‑native means more than using ChatGPT occasionally. It means knowing how to collaborate effectively with AI tools, verify their output, protect sensitive information and remain accountable for the quality of what you ship.

Will you be our new Medior AI Product Engineer?

Applicants must already have the right to work in the Netherlands. We are unable to provide visa sponsorship or relocation support for this vacancy.