Senior AI Engineer, Edinburgh

Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that’s transforming today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance.

The Opportunity

Multiverse is the UK’s largest apprenticeship provider and its first EdTech unicorn. The current state of AI presents a huge opportunity to reshape the future of education and workforce development — and Multiverse is in a uniquely strong position to do that. The Scotland hub exists to make that real. A new engineering team with the mandate to build AI-native products, help modernise the existing platform, and set the practices that make Multiverse an AI-first company.

As an AI Engineer at P6, you’re a specialist and a core builder. You’re the go-to person for your product domain — someone who can take a hard problem, make the right design calls within it, and ship something that works for real users. You won’t be waiting for the work to be broken down for you. You’ll work in a small, focused squad led by a Principal engineer, with full ownership of your slice of the system from design through to production.

What You’ll Do

• Own and deliver agent features end-to-end.
• Take a product problem — a coaching workflow, a content pipeline, a retrieval system — and build the agent feature that solves it.
• Design context and retrieval strategies.
• Build and maintain evaluation frameworks.
• Design tool integrations.
• Shape technical direction within your domain.
• Raise the bar through review and pairing.

What We’re Looking For

• Production AI Engineering: You’ve shipped AI-powered features to real users.
• Depth in Your Domain: You’re a subject matter expert in at least one area of the AI engineering stack.
• Full-Stack Delivery: You work across the stack — LLM integration, backend services, data pipelines, and enough frontend to ship end-to-end.
• Product Instinct: You ask “what problem are we solving and for whom?” before “what framework should we use?”

What Would Set You Apart

• Experience building AI systems in EdTech, regulated content, or domains where output quality has compliance or accreditation implications.
• Background as a founding or early-stage engineer at a startup.
• Experience with multi-agent coordination.
• Practical experience with MCP (Model Context Protocol) or equivalent agent integration standards.
• Published thinking or external contributions in AI engineering.

Benefits

• 27 days holiday, plus 5 additional days off.
• Private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources.
• Hybrid work offering.
• Work-from-anywhere scheme.
• Space to connect: weekly catch-ups, seasonal celebrations, and a stocked kitchen.

Our Commitment to Diversity, Equity and Inclusion

We’re an equal opportunities employer. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status.

Our Commitment to Safeguarding

Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy.