MultiverseAI Solutions Engineer (Staff)
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 Opportunity
Multiverse’s mission is to equip the workforce to win in the AI era. As Staff AI Solutions Engineer and technical lead of our AI Transformation engineering squad, you will play a pivotal role in transforming our business to deliver on that mission. You will lead the development of our internal agentic ecosystem, moving beyond the theoretical to deliver productionised systems. We are looking for a seasoned engineer who thrives on making AI work in the real world and excels at operating at the intersection of system architecture and advanced AI implementation. If you are passionate about shaping the future of work and education, join us at Multiverse.
Key Responsibilities:
Build and maintain autonomous agent-based solutions that generate real impact to our internal teams, enabling them to better serve our customers
Design, architect & deliver AI solutions: Partner with technical and business teams to develop new AI solutions
Own the end-to-end lifecycle: Take responsibility for the journey from design through experimentation, deployment, user adoption, impact measurement and continuous iteration
Mentor and scale expertise: Act as a technical leader, coaching engineers within the team, establishing best practices, and offering technical guidance
Collaborate cross-functionally: Ensure that solutions meet user requirements, deliver impact across the organisation, and remain aligned with other engineering squads
About you
Proven Staff-Level experience: 6-7 years in software engineering, with a strong understanding of Applied AI fundamentals and experience working in cross-functional product teams
Expertise in:
System architecture: Proven ability to design, implement, and maintain complex RAG pipelines and solution architectures, ensuring low latency and high relevance in information retrieval
AI Orchestration: Proven experience in developing embeddings, MCPs, and agentic workflows, enabling robust, secure and scalable AI-driven systems
Required engineering skills: Proficient in Python and TypeScript with AWS cloud, with experience building APIs, microservices, and cloud-native applications
Growth mindset: You’re curious, open to feedback, and excited to share what you learn while contributing to an inclusive, high-performing culture
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. 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 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.