AI Product Engineer

Mathspace is on a mission to transform mathematics education. We believe that every student can learn and grow in mathematics with the right support—and we’re building the most intelligent, adaptive platform to make that possible.

For over a decade, we’ve pioneered interactive, feedback-driven math learning experiences used by hundreds of thousands of students and teachers globally. But we’re just getting started.

The future of math education is one where AI helps every learner receive personalized, real-time guidance—just like a tutor would. And we’re building it.

We’re a passionate, mission-driven team that blends deep educational insight with cutting-edge technology. At Mathspace, your work directly impacts how the next generation learns.

As an AI Product Engineer at Mathspace, you'll lead the development of intelligent learning experiences powered by large language models (LLMs) and other forms of generative AI. From concept to production, you’ll build novel product features that help students get timely hints, conversational feedback, and human-like math support—at scale.

You’ll join a cross-functional product squad of engineers, designers, educators, and product managers, and work across the stack to explore what’s possible at the intersection of pedagogy and AI. You'll evaluate models, design prompts and evaluation frameworks, and help us ship polished experiences to classrooms around the world.

We're still in the early days of our AI journey, and you'll be a key contributor in shaping our strategy, systems, and culture around building with LLMs.

• Designing and building AI-powered learning experiences that integrate LLMs into Mathspace’s student and teacher-facing apps.
• Prototyping, testing, and deploying LLM-based features , such as math-specific feedback, adaptive hints, automated question generation, and teacher co-pilot tools.
• Working across the stack using React, TypeScript, Python and GraphQL.
• Experimenting with prompting, RAG, vector search , and fine-tuning strategies to optimize for student learning outcomes.
• Collaborating with our curriculum and pedagogy teams to ensure our AI experiences are pedagogically sound and aligned with our educational values.
• Contributing to our AI infra and LLMOps processes , including evaluation pipelines, prompt versioning, and observability tools.
• Thinking creatively and critically about what LLMs should and shouldn't do in an educational context—and designing safeguards accordingly.

Requirements

• 5+ years of industry experience in product-focused full stack or backend engineering.
• Proficiency in our stack: React/TypeScript , Python , GraphQL .
• Hands-on experience building and deploying LLM-powered applications in production.
• Familiarity with tools and concepts like RAG, prompt engineering, evaluation frameworks , and LLMOps best practices.
• A strong sense of product intuition and user empathy , especially in educational contexts.
• Excellent communication and collaboration skills. You’ll be working cross-functionally with teams across pedagogy, design, and engineering.
• A desire to move fast, learn continuously , and build things that really matter for students and teachers.

Benefits

• Mission-driven work : Help reimagine math education for students and teachers everywhere.
• Meaningful scale : Your work will reach hundreds of thousands of learners across Australia, the US, and beyond.
• Small team, big impact : We’re a lean, high-trust team where individual ownership matters.
• Flexible work : We support remote work with some timezone overlap with Sydney. Our HQ is near Central Station.
• Support for growth : We offer a yearly stipend for training and professional development.
• Do good beyond product : We partner with pledge1percent.org and offer 2.5 paid volunteer days annually.
• Competitive salary and equipment : Including a MacBook Pro and any peripherals you need to do your best work.