AI Solutions Engineer (Staff)

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 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 UKs first EdTech 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.

The Opportunity

Multiverses 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: Youre 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 - 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:

IC