We are looking for an AI Engineer to join our Technology Team and help build trustworthy AI capabilities for the future of online education.
You will be joining a global EdTech company, building a suite of AI-enabled products for students, teachers and education partners to support better learning outcomes at scale.
This is not a research-only role. You will work closely with Product and Backend Engineers, as well as educators and education partners, to understand real assessment and learning workflows, test ideas against real use cases and take successful approaches into production. You will help turn modern AI capabilities into reliable, measurable and genuinely useful product features.
What you will do
- Design and build AI-enabled features for various education products, from assessments to tutoring.
- Work with education partners and internal stakeholders to understand assessment practices, quality expectations and real-world constraints.
- Build evaluation approaches that measure output quality, consistency, usefulness and failure modes.
- Develop retrieval, prompt-management, orchestration and structured-output workflows where appropriate.
- Integrate LLM APIs, AI services and education data into reliable product capabilities.
- Design practical human-review, control and escalation workflows for AI-supported decisions.
- Improve the reliability, latency, cost and quality of AI services in production.
- Build prototypes quickly, test them against real education use cases and productionise successful approaches.
- Develop suitable guardrails, monitoring and auditability for AI outputs.
- Work with Backend Engineers on service architecture, data handling, integrations and scalability.
- Work with Product Engineers to ensure AI features are understandable, useful and trustworthy for teachers and students.
- Use AI-assisted development tools appropriately while maintaining strong engineering judgement, testing, privacy and security standards.
- Write clean, tested and maintainable code.
What we are looking for
- 2+ years of professional data science, applied AI or machine-learning engineering experience.
- Experience building AI-enabled features, prototypes or production applications using LLM APIs or related AI services.
- Strong programming ability in Python, TypeScript/Node.js or similar languages.
- Experience with prompt design, structured outputs, retrieval workflows, AI orchestration or agentic workflows.
- Experience evaluating AI quality, reliability and safety beyond informal manual testing.
- Solid understanding of APIs, databases, cloud services and production software architecture.
- Ability to balance experimentation with disciplined engineering, testing, privacy and security standards.
- A self-directed approach to investigating new methods, testing assumptions and improving product quality.
- Comfortable working with non-technical stakeholders and education partners to understand the real problem behind a feature request.
- Strong ownership, debugging and problem-solving skills.
- Clear written and spoken English.
Nice to have
- Experience with retrieval-augmented generation, embeddings, vector databases or document-processing pipelines.
- Experience designing evaluation datasets, test harnesses, quality metrics or human-review workflows.
- Experience with data pipelines, ETL and production level data science.
- Experience with privacy, security, auditability or responsible-AI practices.
- Experience with modern cloud platforms and containerised application deployment.
- A degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science or a related technical discipline.
Location
Fully remote, Europe.