Senior AI Engineer AI Transformation

Multiverse is the upskilling platform for AI and Tech adoption.

We have partnered with 1500 companies to deliver a new kind of learning thats transforming todays 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 theyve learned to improve productivity and measurable performance.

In April 2026 we announced $70 million in strategic funding led by Schroders Capital with participation from StepStone Group Lightspeed Venture Partners and General Catalyst. At an increased valuation of $2.1bn the round makes us Europes first EdTech double unicorn.

But we arent stopping there. With a strong operational footprint and 800 employees we have ambitious plans to continue scaling. Were building a world where tech skills unlock peoples potential and output.

Join Multiverse and power our mission to equip the workforce to win in the AI era.

AI Transformation is a small focused squad that is driving Multiverses next wave of growth. Our mandate is to rebuild how the company actually works function by function and to establish the practices that make Multiverse an AI-first company from the core out.

But our work doesnt stop there. We are building a product that we will take to market to truly be a transformation partner to our customers. Joining this team means shaping the future of Multiverse of our customers and of the wider workforce as we navigate the new world of work.

The team is high velocity inherently cross-functional and broad in scope. We work alongside colleagues whose work we are reimagining and closely with the wider engineering org building Multiverses current customer-facing product. The structure is flat and fast with egos left at the door bias to action and fun at our core.

Every day will be different but you can expect it to include:

Own and deliver end-to-end AI systems: agents and the platforms they depend on. You identify a user problem break it down and build the AI system that solves it in close partnership with the teams who will adopt it

Design context and retrieval strategies: the retrieval pipelines conversation memory summarisation strategies chunking logic and RBAC that make context useful and permission-aware

Build evaluation frameworks. You build automated eval pipelines and human-in-the-loop review processes that tell the team whether its AI systems are doing what they should.

Design tool integrations. Agents are only as capable as the systems and context they can reach. You design and build the tool layer: MCPs APIs data contracts and the error handling that makes tool use reliable.

Influence technical direction. You have opinions about how things should be built and you back them up with evidence. You contribute to architectural decisions push back when the team is heading in the wrong direction and propose better approaches.

• Production AI Agent Engineering: You have shipped AI systems that serve real users at scale. You understand the engineering challenges that make agent systems different from conventional software including context management model selection and routing cost engineering tool use and agent augmentation and evaluation

• Product mindset: Your natural instinct is to identify the real user pain understand their requirements and build pragmatic high-impact solutions. You test learn and iterate fast and are comfortable executing under high ambiguity

• Full-Stack Delivery: You work across the stack: LLM integration backend services data pipelines and enough frontend to ship end to end

• Communication: You can explain technical concepts clearly to both engineers and business colleagues. You proactively engage the people around your work and bring them along with you on the journey

• Fluent in AI-assisted development and can mentor others to do it well

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 - youll 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 thats always stocked!

Our Commitment to Diversity Equity and Inclusion

Were 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. Read our Equality Diversity & Inclusion policy here.

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 Childrens 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.

Required Experience:

Senior IC