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AI Solutions Engineer

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Multiverse

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Location:
United Kingdom , London

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

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.

Job Responsibility:

  • 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

Requirements:

  • 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
What we offer:
  • 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!

Additional Information:

Job Posted:
February 21, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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