AI Product Engineer

About Us

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, feedbackdriven 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, realtime guidance—just like a tutor would. And we’re building it.

We’re a passionate, missiondriven team that blends deep educational insight with cuttingedge technology. At Mathspace, your work directly impacts how the next generation learns.

About the Role

As an AI Product Engineer at Mathspace, youll 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 humanlike math support—at scale.

You’ll join a crossfunctional 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. Youll evaluate models, design prompts and evaluation frameworks, and help us ship polished experiences to classrooms around the world.

Were still in the early days of our AI journey, and youll be a key contributor in shaping our strategy, systems, and culture around building with LLMs.

What You’ll Be Doing

• Designing and building AIpowered learning experiences that integrate LLMs into Mathspace’s student and teacherfacing apps.
• Prototyping, testing, and deploying LLMbased features, such as mathspecific feedback, adaptive hints, automated question generation, and teacher copilot tools.
• Working across the stack using React, TypeScript, Python and GraphQL.
• Experimenting with prompting, RAG, vector search, and finetuning 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 shouldnt do in an educational context—and designing safeguards accordingly.

• Requirements

  What We’re Looking For

  • 5+ years of industry experience in productfocused full stack or backend engineering.
  • Proficiency in our stack: ReactTypeScript, Python, GraphQL.
  • Handson experience building and deploying LLMpowered 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 crossfunctionally 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

    Why Join Mathspace?

    • Missiondriven 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, hightrust 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.