AI Product Engineer

Stack

Responsibilities

• ▹Design and build AI-powered learning experiences that integrate LLMs into Mathspace's student and teacher-facing apps
• ▹Prototype, test, and deploy LLM-based features: math-specific feedback, adaptive hints, automated question generation, teacher co-pilot tools
• ▹Work across the stack using React, TypeScript, Python, and GraphQL
• ▹Experiment with prompting, RAG, vector search, and fine-tuning strategies to optimize for student learning outcomes
• ▹Collaborate with curriculum and pedagogy teams to ensure AI experiences are pedagogically sound
• ▹Contribute to AI infra and LLMOps processes: evaluation pipelines, prompt versioning, observability tools
• ▹Think creatively and critically about what LLMs should and shouldn't do in an educational context, designing safeguards accordingly

Requirements

• ▹5+ years of industry experience in product-focused full stack or backend engineering
• ▹Proficiency in the stack: React/TypeScript, Python, GraphQL
• ▹Hands-on experience building and deploying LLM-powered applications in production
• ▹Familiarity with RAG, prompt engineering, evaluation frameworks, and LLMOps best practices
• ▹Strong product intuition and user empathy, especially in educational contexts
• ▹Excellent communication and collaboration skills across pedagogy, design, and engineering
• ▹Desire to move fast and learn continuously

Soft skills

What we offer

• ▹Mission-driven work reimagining math education for students and teachers
• ▹Meaningful scale: your work reaches hundreds of thousands of learners across Australia, the US, and beyond
• ▹Small team, big impact

About the company

Mathspace is on a mission to transform mathematics education. For over a decade it has pioneered interactive, feedback-driven math learning experiences used by hundreds of thousands of students and teachers globally, building toward an intelligent, adaptive platform where AI gives every learner personalized, real-time guidance like a tutor.