1 year ago
Remote, CyprusSenior
Responsibilities
- Design and build AI-powered learning experiences integrating LLMs into student- and teacher-facing applications.
- Prototype, test, and deploy LLM features such as math feedback, adaptive hints, automated question generation, and teacher copilot tools.
- Develop across the stack using React, TypeScript, Python, and GraphQL.
- Experiment with prompting, RAG, vector search, and fine-tuning strategies.
- Contribute to AI infrastructure and LLMOps processes, including evaluation pipelines, prompt versioning, and observability tools.
- Collaborate with curriculum and pedagogy teams and design safeguards for educational AI use.
Requirements
- 5+ years of industry experience in product-focused full-stack or backend engineering.
- Proficiency with React/TypeScript, Python, and GraphQL.
- Hands-on experience building and deploying LLM-powered applications in production.
- Familiarity with RAG, prompt engineering, evaluation frameworks, and LLMOps best practices.
- Product intuition, user empathy, and strong communication and collaboration skills.
Benefits
- Remote work with some timezone overlap with Sydney.
- Yearly training and professional development stipend.
- 2.5 paid volunteer days annually.
- MacBook Pro and required peripherals.
- Full-time role based in Sydney, Australia, with remote workplace flexibility.
Tech Stack
Categories
AI ApplicationsProduct Engineering
About Mathspace
Mathspace builds an adaptive mathematics learning and assessment platform for schools, providing step-by-step feedback, hints, and curriculum-aligned content for students, plus assignments and analytics for teachers. It sells subscriptions to schools and districts and supports teacher workflows such as assignments, grading, and reporting. Founded in 2010 and headquartered in Sydney, the privately held company serves curricula for multiple countries.