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About the Role

Join our Technology Team as an AI Engineer to build trustworthy AI capabilities for the future of online education. You will contribute to a suite of AI-enabled products for students, teachers, and education partners, aiming to improve learning outcomes at scale. This role involves working closely with Product and Backend Engineers, educators, and partners to integrate modern AI into reliable and useful product features.

Responsibilities

• Design and build AI-enabled features for various education products.
• Work with stakeholders to understand assessment practices and constraints.
• Build evaluation approaches to measure AI output quality and consistency.
• Develop retrieval, prompt-management, orchestration, and structured-output workflows.
• Integrate LLM APIs, AI services, and education data into product capabilities.
• Design human-review, control, and escalation workflows for AI decisions.
• Improve the reliability, latency, cost, and quality of AI services.
• Build and productionize AI prototypes tested against real education use cases.
• Develop guardrails, monitoring, and auditability for AI outputs.
• Collaborate with Backend Engineers on service architecture, data handling, and scalability.
• Work with Product Engineers to ensure AI features are understandable and trustworthy.
• Use AI-assisted development tools while maintaining engineering standards.
• Write clean, tested, and maintainable code.

Requirements

• 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 and improving product quality.
• Comfortable working with non-technical stakeholders and education partners.
• Strong ownership, debugging, and problem-solving skills.
• Clear written and spoken English.

Skills

• Python
• TypeScript/Node.js
• LLM APIs
• AI services
• Prompt design
• Structured outputs
• Retrieval workflows
• AI orchestration
• Agentic workflows
• APIs
• Databases
• Cloud services
• Production software architecture
• Retrieval-augmented generation
• Embeddings
• Vector databases
• Document-processing pipelines
• Data pipelines
• ETL
• Privacy
• Security
• Auditability
• Responsible-AI practices
• Cloud platforms
• Containerised application deployment

Location

• Europe

Work Type

• Fully remote

Experience Level

• 2+ years of professional experience

Education Level

• Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical discipline (Nice to have)

About the Company

• A global EdTech company building a suite of AI-enabled products for students, teachers and education partners to support better learning outcomes at scale.