Jobs / engineering

Senior AI Product Engineer (Full-Stack)

Futurewhiz · Amsterdam

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Apply on Futurewhiz's site

About the role

📍 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 Corp

Just 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.

🎮 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 operation
Build across the stack: Python services and APIs, data flows, user-facing interfaces and the infrastructure needed to run them
Design robust LLM and agent-based workflows, including prompts, evaluations, feedback loops, observability and safeguards
Translate editorial research and user feedback into technical options, trade-offs and testable plans
Identify the smallest useful experiments that can resolve important technical or product uncertainty
Create architectures that support rapid learning now without preventing the strongest ideas from becoming durable products
Develop reusable platform capabilities and integration patterns that can support multiple content workflows
Set pragmatic standards for reliability, security, maintainability, quality and cost—and help the team apply them
Use AI coding tools fluently while critically reviewing their output and remaining accountable for the software you ship
Anticipate dependencies, investigate difficult failures across components and keep production systems effective as usage grows
Raise the engineering bar through design discussions, code reviews, pairing and informal mentoring
Navigate technical trade-offs with both technical and non-technical stakeholders, including when priorities or perspectives differ
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 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.

🔥 Who are you?

You are a product-minded engineer who combines technical breadth with practical judgement. You can move quickly when learning, slow down when reliability matters and distinguish between an experiment that should remain simple and a capability worth building for the long term.

You are likely to thrive here if you:

Have a track record of independently building, shipping and operating production software
Are strong in Python and comfortable making effective decisions across backend, frontend and infrastructure concerns
Have practical experience with LLM-powered products, model APIs, agent workflows or closely related AI systems
Use AI tools as a normal part of your engineering practice to explore, build and learn faster, while verifying their work critically
Can frame ambiguous problems, identify the riskiest assumptions and turn them into focused experiments
Make architecture decisions that balance immediate product learning with reliability and future reuse
Take responsibility for outcomes across the full lifecycle rather than stopping when the code is merged
Communicate complex choices clearly to non-technical colleagues and incorporate their domain expertise into the solution
Can guide other engineers through collaboration, review and mentoring without needing a formal management role
Remain pragmatic and constructive under pressure or when stakeholders hold competing 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 valuable. Experience in education, publishing or content systems is welcome but not required.

We are not looking for a particular pedigree or an engineer who already knows everything. We are looking for someone whose experience enables good independent decisions, who remains curious and who has genuinely adapted their way of working to the possibilities and limitations of modern AI.

Senior AI Product Engineer (Full-Stack)

About the role

What you get

About the company

🎮 What will you do?

🌟 What success looks like

🔥 Who are you?

😻 Who are we?

🤖 Our use of AI

Will you be our new Senior AI Product Engineer?