Medior AI Product Engineer (Full-Stack)

ppGenerative 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. /p /brpFuturewhiz is looking for a bMedior AI Product Engineer /b 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. /p /brpYou 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. /p /brh3About Futurewhiz /h3 /brpFuturewhiz is a B Corp. Its brands, including Squla and StudyGo, help children and teenagers aged 3 to 18 learn and grow at their own level and pace. /p /brh3Your role /h3 /brpYou 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. /p /brpEach 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. /p /brpYour 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. /p /brpbSpecifically, you will: /b /p /brul /brliBuild and own AI-assisted applications from early prototype through to reliable production use /li /brliDevelop across the stack: Python services and APIs, data flows, user-facing interfaces and the infrastructure needed to run them /li /brliBuild and improve LLM and agent-based workflows, including prompts, evaluations, feedback loops and safeguards /li /brliTurn findings from editorial research and user testing into practical technical approaches /li /brliCreate small experiments to resolve uncertainty before committing to larger builds /li /brliIntegrate new tools into existing publishing systems and contribute reusable components to our content-automation platform /li /brliUse AI coding tools as part of your everyday work while reviewing, testing and taking responsibility for the resulting software /li /brliDeploy, monitor and troubleshoot what you build, balancing quality, reliability, speed and cost /li /brliContribute to architecture, CI/CD, security, code quality and technical decision-making within the team /li /brliTravel to Groningen for one or two days approximately once every two months to work with colleagues there /li /br /ul /brpThere 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. /p /brh3What success looks like /h3 /brpIn your first three months, we would expect you to: /p /brul /brliUnderstand the users, workflow and technical environment in your initial problem area /li /brliShip a useful prototype or product improvement and evaluate it with real users /li /brliTake ownership of a defined part of the product, including its deployment and operation /li /brliBuild productive working relationships with both technical and publishing colleagues /li /br /ul /brpAs 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. /p /brh3Job requirements /h3 /brpbWho are you? /b /p /brpWe 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. /p /brpYou are likely to thrive here if you: /p /brul /brliHave hands‑on experience building and shipping web applications or software products /li /brliAre confident with Python and comfortable moving between backend, frontend and infrastructure work /li /brliUse AI tools actively and critically to develop faster, learn unfamiliar areas and improve your work /li /brliAre interested in LLM‑powered products and have experimented with model APIs, agent workflows or similar technology /li /brliThink like a product builder: you clarify the problem, suggest options and test assumptions rather than waiting for a detailed specification /li /brliCan move quickly when exploring an idea and apply sound engineering judgement when it is time to make the solution durable /li /brliCan independently own a well‑defined problem while recognising when input from colleagues will improve the outcome /li /brliEnjoy collaborating with non-technical specialists and can explain technical choices in plain language /li /brliStay pragmatic and constructive when priorities are uncertain or several stakeholders have different views /li /brliHave an affinity for education and want your work to improve how learning materials are made /li /br /ul /brpExperience 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. /p /brpbWhat do we offer? /b /p /brul /brli24 vacation days + 3 assigned days off + 1 skipping school day /li /brliCollective pension and health insurance /li /brliA €600 annual learning budget for your professional development /li /brliUnlimited access to external coaches through Inuka Coaching /li /brliUnlimited access to Goodhabitz training programs for professional and personal growth /li /brliLifetime access to StudyGo and Squla accounts /li /brliA MacBook for work /li /brliPayroll Giving option to contribute to a good cause /li /brliHealthy lunches at the office, unlimited good coffee, fresh fruit, and snacks /li /brliA Culture Crew that organizes fun activities like outings, pub quizzes, ski trips, and laser tag /li /br /ul /brh3How we work with AI /h3 /brpAt 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. /p /brpFor 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. /p /brpApplicants must already have the right to work in the Netherlands. We are unable to provide visa sponsorship or relocation support for this vacancy. /p /p #J-18808-Ljbffr