Mathspace
via Workable
AI Product Engineer
Posted 412 days ago, which is unusual. The employer's own board was still carrying it when we last read it, just now.
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 412d ago
The date the source published, not the day we noticed it (2025-07-30). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Cyprus, Australia
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay €72.5k–106.7k/yr
Middle 50% of 77 listings that do state pay — Engineering · all levels · EMEA · EUR/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 10d ago · last seen just now
The listing
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, 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.
About the Role
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.
What You’ll Be Doing
- 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
What We’re Looking For
- 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
Why Join Mathspace?
- 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.