AI Product Engineer

We're building Hyphen's AI unit from scratch. This is the second hire.

The focus is on building products and platforms that improve how our current businesses operate and building new businesses. This isn’t a role where you’re handed tickets. You’ll be in the conversation, figuring out what matters, and shipping solutions that get used.

We are looking for someone who can bridge product thinking, software engineering, and real-world AI system behaviour, turning ideas into reliable, production-ready features used at scale. You will work across the full stack, with a strong focus on building AI-driven user-facing features, debugging LLM behaviour in production, and shaping how AI is embedded into real products.

Salary: £60k-80k base. Reporting to the Director.

WHAT HYPHEN IS

Hyphen is a portfolio of global education companies spanning international education and AI skills — INTO, INTO Qualifications, iO-Sphere, Nurture Higher Education, The AI Board, and more in the pipeline. We're building new businesses, launching new products, and transforming how our companies operate — and we're doing it fast.

WHAT YOU'LL DO

• Work directly with stakeholders to understand problems, shape what should be built, and translate that into working solutions
• Translate those conversations into working products — features, tools, automations, new businesses — using AI as the primary build tool
• Full-Stack Ownership: end-to-end product ownership, including designing interfaces, managing data, and optimising backend performance
• Work across multiple companies at once: different sectors, different problems, different contexts
• Build and ship AI-powered solutions that improve how the business operates
• Own what you build, iterate, improve, and maintain solutions based on real usage and feedback
• Move fast, iterate, and continuously improve what’s in production

WHO WE'RE LOOKING FOR

• Technical Proficiency: Strong experience in building full-stack applications.
• AI/ML Experience: Proficiency with machine learning frameworks (e.g., PyTorch, TensorFlow) and LLM-powered workflows.
• Product Mindset: Ability to translate business problems into technical, user-friendly solutions.
• Product Development: Experience with 0-->1 product creation or early-stage startups
• Comfortable with ambiguity — you fill gaps sensibly and flag issues early
• Proactive communicator — you surface blockers, not surprises
• You've built something end-to-end that you can show us. Not describe. Show.
• Comfortable working directly with stakeholders and shaping solutions from loosely defined problems