AI Solutions Engineer (Staff)

AI 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 ... (truncated, view full listing at source)