Summary
✨ AI‑Generated
A Senior AI Product Engineer role for a hands-on builder who can turn promising generative AI experiments into dependable production software. You will influence technical direction and architecture while developing full-stack solutions for complex content workflows, with an emphasis on accuracy, reliability, editability, and scale. Applicants must already have a valid work permit for the Netherlands or EU.
Highlights
Senior hands-on AI product role with strong technical ownership, competitive compensation, hybrid work, and responsibility for turning experimental generative AI capabilities into dependable products used in real publishing workflows.
Description
📍 Amsterdam - Hybrid (minimum 50% at the office)⏱️ 36-40 hours per week💰 €4,900–€5,600 gross per month, based on 40 hours and depending on experience🌍 Futurewhiz is a B CorpJust a small heads-up regarding logistics: we aren't able to offer visa sponsorship for this role, so we can only consider candidates who already hold a valid work permit for the Netherlands or the EU.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 Senior AI Product Engineer to help turn promising AI experiments into dependable software for real publishing workflows.
You will remain deeply hands-on while taking broader responsibility for technical direction, architecture and the path from an uncertain opportunity to a durable product.This is not a role where product decisions arrive as fully specified tickets.
You will work with editorial and technical colleagues to frame problems, test assumptions and decide what is worth building.
Seniority here means sound judgement, independent ownership and the ability to make the wider team more effective—not status, people management or knowing every technology in advance.🏰 About FuturewhizFor 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.🎮 What will you do?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 insight, feasibility testing or rapid prototyping is valuable, while owning the technical approach and ensuring the resulting software can succeed beyond the prototype stage.Specifically, you will:Own the technical direction for an AI-assisted product area from early discovery through production operationBuild across the stack: Python services and APIs, data flows, user-facing interfaces and the infrastructure needed to run themDesign robust LLM and agent-based workflows, including prompts, evaluations, feedback loops, observability and safeguardsTranslate editorial research and user feedback into technical options, trade-offs and testable plansIdentify the smallest useful experiments that can resolve important technical or product uncertaintyCreate architectures that support rapid learning now without preventing the strongest ideas from becoming durable productsDevelop reusable platform capabilities and integration patterns that can support multiple content workflowsSet pragmatic standards for reliability, security, maintainability, quality and cost—and help the team apply themUse AI coding tools fluently while critically reviewing their output and remaining accountable for the software you shipAnticipate dependencies, investigate difficult failures across components and keep production systems effective as usage growsRaise the engineering bar through design discussions, code reviews, pairing and informal mentoringNavigate technical trade-offs with both technical and non-technical stakeholders, including when priorities or perspectives differTravel to Groningen for one or two days approximately once every two months to work with colleagues thereThere is no separate team waiting to take over UX, infrastructure or operations.
You will have colleagues to consult, but the product team owns its solutions end to end.
Part of your role is helping the team keep that ownership manageable through simple architecture and good engineering choices.🌟 What success looks likeIn your first three months, we would expect you to:Build a strong understanding of the users, workflow, technical environment and existing experiments in your initial problem areaEstablish a clear technical direction based on the most important evidence and uncertaintiesShip and evaluate a useful prototype or production improvement with real usersTake end-to-end ownership of a meaningful product area, including its architecture, deployment and operationBuild trust with technical, editorial and publishing stakeholdersAs you become established, success means independently moving the team from uncertain opportunities to tested solutions and turning the strongest ideas into dependable software.
The clearest measure of your work will be whether the systems you help create generate high-quality educational content consistently while improving speed, cost or editorial effort.
You will also leave the wider platform and engineering team better equipped for the next workflow we tackle.