AI Solutions Engineer

AI Solutions Engineer 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 Senior AI Solutions Engineer, and a key technical contributor within our AI Transformation engineering squad, you will play an important role in transforming our business to deliver on that mission. You will lead the development and delivery of AI-powered solutions within the squad, moving beyond the theoretical to ship production-ready systems. We are looking for an experienced engineer who thrives on making AI work in the real world and operates with confidence at the intersection of system design 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 and deliver AI solutions: Partner with technical and business teams to develop new AI solutions - Own complex squad initiatives: Take responsibility for high-impact projects from design through to deployment, user adoption, and iteration - Drive technical quality: Lead code reviews, contribute to design decisions, and identify trade-offs to maintain architectural integrity and system reliability - Share expertise and raise the bar: Play active role in ensuring squad keeps pace with technological advances, mentor peers, and contribute to improving ways of working within the team - Collaborate cross-functionally: Ensure that solutions meet user requirements, deliver impact across the organisation, and remain aligned with other engineering squads About You - Proven Senior-level experience: 3–5 years in software engineering, with 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 experience building APIs, microservices, and cloud-native applications - AI-enabled productivity: Comfortable leveraging AI-assisted development tools to enhance your own and the squad's output - 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 hea ... (truncated, view full listing at source)