Principal AI Engineer, Edinburgh in London

Multiverse is an AI and tech upskilling platform. Join Multiverse and power our mission to equip the workforce to win in the AI era.

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. Getting it right has implications beyond the company: for the UK tech sector and the broader economy. 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. Multiverse has built an environment where AI-native ways of working collapse the old boundaries, so one person can own the whole arc from idea to live product.

This is a deeply technical role. You’ll be the person other engineers turn to when the hard problems land - the one who navigates architectural ambiguity, makes high-stakes design decisions, and holds the bar on engineering quality across everything we build with AI. You ship code alongside the team; this is a hands-on building role, not an advisory position.

What You’ll Do

• Own the AI agent architecture. Design the orchestration layer, memory and context management, evaluation framework, and integration APIs that all agent products build on.
• Ship production agents. You write and review code and own what goes to production. You’ll personally deliver at least one major agent system in your first six months.
• Set the engineering standard. Define how Multiverse builds with AI - evaluation methodology, multi-agent coordination patterns, tool design, guardrails, and observability.
• Build the integration layer. Create the APIs, MCPs, and shared data contracts that connect agents to Multiverse’s platform, content systems, and internal tools - working closely with London engineering teams who own those systems today.
• Drive technical strategy. Translate product and business goals into a coherent AI engineering roadmap.
• Raise the bar around you. You’re not a line manager, but your presence makes the engineers you work with measurably better.

What We’re Looking For

• Production AI Agent Engineering: You’ve shipped multi-agent systems to real users. You understand context management, model selection and routing, cost engineering, tool use and failure handling, multi-agent coordination, and evaluation frameworks for non-deterministic systems.
• Technical Strategy and Influence at Scale: You’ve set technical direction across multiple teams. You translate complex architecture decisions into business-relevant narratives for executive stakeholders.
• 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 don’t wait to be handed a roadmap. You identify which problems are worth solving, in what order, and why.

What Would Set You Apart

• Background as a founding engineer or technical co-founder.
• Experience in EdTech, regulated content, or domains where AI output quality has compliance implications.
• Published thinking or external contributions in AI engineering.
• Practical experience with MCP (Model Context Protocol) or equivalent agent integration standards.

Benefits

• Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days and 8 bank holidays per year.
• Health & Wellness - private medical Insurance, a medical cashback scheme, life insurance, gym membership & wellness resources.
• Hybrid work offering - for most roles we collaborate in the office three days per week.
• Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year.
• Space to connect - we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked!

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.