Staff AI Engineer - AI Transformation in London

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. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post‑money valuation of $1.7bn, the round makes us the UK’s first EdTech unicorn. But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era.

The Role

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. Multiverse is in a uniquely strong position to do that, and getting it right has implications beyond the company: for the UK tech sector and the broader economy. The AI Transformation team exists to make that real, starting with Multiverse itself. This is not a team that bolts AI onto the edges of the business or ships a handful of internal productivity tools. The mandate is bigger: to rebuild how the company actually works, function by function, and to establish the engineering practices that make Multiverse an AI‑first company from the core out. That work matters twice over. Get it right inside Multiverse and we move faster, serve learners better, and operate at a level few organisations can match. But Multiverse also exists to build the workforce that every other company is reaching for. The way we transform ourselves becomes the standard we set for everyone else. You are not just changing one company, you are building the blueprint others will follow.

The team is one small, focused squad, accountable for outcomes end to end. You work closely with the wider engineering org building Multiverse’s customer‑facing product, and alongside the teams whose work you are helping to reinvent. The structure is flat and fast. No shared queues, no bureaucratic overhead between having an idea and shipping it. Whilst we are building something entirely new, Multiverse has an established product, existing infrastructure, and engineering teams in London and Berlin. You need to be as comfortable integrating existing systems and working across team boundaries as you are building new ones from scratch.

What You Will Do

• Own the architecture of our internal agentic operating system.
• Ship production AI agent systems.
• Design multi-agent coordination.
• Build the evaluation and quality infrastructure.
• Drive cost engineering.
• Build the integration layer that makes existing Multiverse systems agent‑accessible.
• Set the standard.
• Mentor the team.

What We Are Looking For

• Production AI Agent Engineering
• Product Thinking and Entrepreneurial Instinct
• AI‑Native Engineering
• Full‑Stack Delivery
• Communication

What Would Set You Apart

• Experience in EdTech, regulated content, or domains where AI output quality has compliance or accreditation implications.
• Background as a founding engineer or technical co‑founder.
• Published thinking or external contributions in AI engineering (talks, writing, open source).
• Experience designing platform layers that other teams build on.
• Practical experience with MCP (Model Context Protocol) or equivalent agent integration standards.

What We Are Not Looking For

• Pure ML research without production engineering experience.
• Narrow specialism.
• People who need a detailed spec, a sprint plan, and a standup before they can write a line of code.
• Candidates whose experience is limited to wrapping LLM APIs in thin application layers.
• Engineers who optimise for technical elegance over user outcomes.

Benefits

• Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company‑wide wellbeing days (M‑Powered Weekend) and 8 bank holidays per year.
• Health & Wellness - private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support.
• Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month.
• Work‑from‑anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year.
• Space to connect: Beyond the desk, 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. And proud of it. 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. This will never change.

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, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children’s Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.