Mathspace is hiring an AI Product Engineer

Mathspace is looking for an AI Product Engineer to lead the development of intelligent learning experiences powered by large language models (LLMs) and generative AI. You will build novel product features that help students get timely hints, conversational feedback, and human-like math support at scale, shaping our strategy and systems for building with LLMs.

What You'll Do

• 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, such as math-specific feedback, adaptive hints, automated question generation, and 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 and aligned with educational values.
• Contribute to AI infrastructure and LLMOps processes, including evaluation pipelines, prompt versioning, and observability tools.
• Think creatively and critically about what LLMs should and shouldn't do in an educational context and design safeguards accordingly.

What We're Looking For

• 5+ years of industry experience in product-focused full stack or backend engineering.
• Proficiency in React/TypeScript, Python, and 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.
• A desire to move fast, learn continuously, and build things that really matter for students and teachers.

Technical Stack

• React
• TypeScript
• Python
• GraphQL

Team & Environment

You'll join a cross-functional product squad of engineers, designers, educators, and product managers at Mathspace, where we focus on mission-driven work to reimagine math education in a small, high-trust environment.

Benefits & Compensation

• Yearly stipend for training and professional development.
• 2.5 paid volunteer days annually.
• Competitive salary.
• Equipment including a MacBook Pro and any peripherals needed.

Work Mode

This is a hybrid position based in Sydney.

Mathspace is an equal opportunity employer.