Senior AI Product Engineer for EdTech Workflows

Futurewhiz; Amsterdam; Hybrid; EUR 55,000 - 62,000; Full time

Benefits offered by this job

Health insurance

Pension

€600 learning budget

Coaching via Inuka

Goodhabitz training

Office next to Bijlmer Arena

MacBook provided

Payroll giving

Healthy lunches and snacks

Culture Crew activities

Lifetime access to StudyGo and Squla

Job summary

Futurewhiz, a Netherlands EdTech leader, seeks a Senior AI Product Engineer to turn promising AI experiments into dependable software for publishing workflows. You will stay hands-on while guiding technical direction and architecture, ensuring solutions mature beyond prototypes.

Collaborate with editors and engineers to frame problems, test assumptions, and decide what to build. You will own the technical approach, design LLM-based workflows, and deliver durable products that improve speed,

Qualifications

• Track record of independently building, shipping and operating production software.
• Strong in Python and comfortable working across backend, frontend and infrastructure.
• Practical experience with LLM-powered products, model APIs, or agent workflows.
• Experience using AI tools to explore, build and learn faster while verifying output.

Responsibilities

• Own the technical direction for an AI-assisted product area from 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 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 differ.
• Travel to Groningen for one or two days approximately once every two months to work with colleagues there.

Skills

Python

LLM workflows

Agent‑based workflows

React or TypeScript

Cloud infrastructure

CI/CD

Data analysis

Applied ML

Tools

Docker

Kubernetes

Job description

Futurewhiz, a Netherlands EdTech leader, seeks a Senior AI Product Engineer to turn promising AI experiments into dependable software for publishing workflows. You will stay hands-on while guiding technical direction and architecture, ensuring solutions mature beyond prototypes.

Collaborate with editors and engineers to frame problems, test assumptions, and decide what to build. You will own the technical approach, design LLM-based workflows, and deliver durable products that improve speed,