At a Glance
- Tasks: Lead the design and development of AI systems that transform how Multiverse operates.
- Company: Join Europe's first EdTech unicorn, revolutionising workforce development through AI.
- Benefits: Enjoy 27 days holiday, private medical insurance, and a hybrid work model.
- Other info: Be part of a diverse team committed to innovation and personal growth.
- Why this job: Shape the future of education while working with cutting-edge AI technology.
- Qualifications: Experience in building AI products and strong engineering skills required.
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 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.
You work closely with the wider engineering org building Multiverse's customer-facing product, and alongside the teams whose work you are helping to reinvent. The structure is flat and fast. No shared queues, no bureaucratic overhead between having an idea and shipping it.
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 for prompt management, retrieval, guardrails, and testing.
- Mentor the team through code review and architectural guidance.
What We Are Looking For:
- Production AI Agent Engineering experience.
- Product Thinking and Entrepreneurial Instinct.
- AI-Native Engineering skills.
- Full-Stack Delivery capabilities.
- Strong Communication skills.
What Would Set You Apart:
- Experience in EdTech or regulated content.
- 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.
Benefits:
- 27 days holiday, plus additional days off.
- Private medical insurance and wellness resources.
- Hybrid work offering.
- Work-from-anywhere scheme.
- Space to connect with colleagues.
Our Commitment to Diversity, Equity and Inclusion: We’re an equal opportunities employer. 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. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS).
Location: London
Employment Type: Full time
Location Type: Hybrid
Department: Engineering
Staff AI Engineer - AI Transformation in London employer: Multiverse Group
At Multiverse, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As an Engineering Lead in the vibrant tech hub of London, you'll benefit from exceptional growth opportunities, a commitment to innovation, and a supportive environment that values your contributions. Join us to shape the future of our platform while enjoying a collaborative atmosphere that prioritises team well-being and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Staff AI Engineer - AI Transformation in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Multiverse Group or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Multiverse Group.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Multiverse Group.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Multiverse Group that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Staff AI Engineer - AI Transformation in London
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 Multiverse Group.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Multiverse Group and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Multiverse Group
✨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 Multiverse Group 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.
✨Prepare for Behavioural Questions
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.
