At a Glance
- Tasks: Lead the design and development of AI systems that transform how Multiverse operates.
- Company: Join Multiverse, Europe's first EdTech unicorn, revolutionising workforce upskilling.
- Benefits: Enjoy 27 days holiday, health perks, hybrid work, and a vibrant office culture.
- Other info: Be part of a diverse team committed to transforming the workforce and driving change.
- Why this job: Shape the future of education and tech while making a real impact in the AI era.
- Qualifications: Experience in building AI systems and a passion for innovative tech solutions.
The predicted salary is between 75600 - 92400 £ per year.
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.
The Role
Multiverse is the UK's largest apprenticeship provider and its first EdTech unicorn. The current state of AI presents a huge opportunity to reshape the future of education and workforce development. Multiverse is in a uniquely strong position to do that, and getting it right has implications beyond the company: for the UK tech sector and the broader economy. The AI Transformation team exists to make that real, starting with Multiverse itself. This is not a team that bolts AI onto the edges of the business or ships a handful of internal productivity tools. The mandate is bigger: to rebuild how the company actually works, function by function, and to establish the engineering practices that make Multiverse an AI-first company from the core out.
What You Will Do
- Own the architecture of our internal agentic operating system.
- Ship production AI agent systems.
- Design multi-agent coordination.
- Build the evaluation and quality infrastructure.
- Drive cost engineering.
- Build the integration layer that makes existing Multiverse systems agent-accessible.
- Set the standard.
- Mentor the team.
What We Are Looking For
- Production AI Agent Engineering experience.
- Product Thinking and Entrepreneurial Instinct.
- AI-Native Engineering.
- Full-Stack Delivery.
- Communication skills.
What Would Set You Apart
- Experience in EdTech, regulated content, or domains where AI output quality has compliance or accreditation implications.
- Background as a founding engineer or technical co-founder.
- Published thinking or external contributions in AI engineering.
- Experience designing platform layers that other teams build on.
What We Are Not Looking For
- Pure ML research without production engineering experience.
- Narrow specialism.
- People who need a detailed spec, a sprint plan, and a standup before they can write a line of code.
- Candidates whose experience is limited to wrapping LLM APIs in thin application layers.
- Engineers who optimise for technical elegance over user outcomes.
Benefits
- Time off - 27 days holiday, plus 5 additional days off.
- Health & Wellness - private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources.
- Hybrid work offering.
- Work-from-anywhere scheme.
- Space to connect.
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.
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.
Staff AI Engineer employer: AI Chopping Block
AI Chopping Block is an exceptional employer, offering a vibrant and innovative work culture in Greater London that fosters creativity and collaboration. Employees benefit from a competitive compensation package, including private health insurance and generous leave policies, while also having ample opportunities for professional growth in the cutting-edge field of biotech and protein design. Join us to make a meaningful impact in a dynamic environment where your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Staff AI Engineer
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We think you need these skills to ace Staff AI Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at AI Chopping Block.
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How to prepare for a job interview at AI Chopping Block
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If AI Chopping Block uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
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While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
