Senior Software 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 Step Stone 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.

It’s an incredible time to join the Engineering team at Multiverse, the UK’s first edtech unicorn, as we equip the workforce to win in an AI era. You have a real opportunity to impact the lives of thousands of people — not by picking up tickets, but by building the engine that gets more people into transformative learning, faster.

Multiverse is reshaping the future of workforce development. Growth at Multiverse is a product problem, not a marketing problem — and increasingly the answers to those problems run through AI. You will join a domain team, gain deep knowledge of our products, and play a central role in delivering scalable, user-focused learner experiences across the platform.

Our platform now serves tens of thousands of learners, and demand for AI skills is accelerating. You won’t be handed a spec — you’ll be in discovery, shaping what we build and why. Every feature you ship connects directly to a learner outcome, and you’ll be expected to own that connection from design through to deployment.

You will be joining a high-growth, high-impact cross-functional tribe spanning product, engineering, design, and AI innovation. We foster a culture of engineering craft, structured experimentation, and rapid innovation. We value engineers who are comfortable swimming in the deep end, who care deeply about the intersection of AI and user experience, and who are excited to solve complex scaling challenges.

This is a high-trust, hands‑on building environment, supported by “10% time” for experimentation and weekly knowledge-sharing. We embrace a “re‑teaming” culture — giving you the high-agency opportunity to dynamically form teams around business priorities, tackle new disciplines, and accelerate your career.

You will tackle bold problems to drive our scaling efforts:

• Activate Learners: Build AI‑driven onboarding flows that adapt in real time to what a learner already knows, how they prefer to engage, and where they need support.

• Drive Engagement: Partner with AI Engineers to develop personalised learning experiences that adapt to individual pace, context, and need.

• Scale Systems: Operationalise AI‑generated content at scale across our end‑to‑end messaging systems — defining the guardrails that ensure output feels relevant and human.

• Ship Code: Deliver high‑quality architecture and write production code across our core stack: AWS, React, and Type Script.

This role sits at the intersection of AI and product. We don’t treat AI as an add‑on or an experiment — it is our engine. We expect you to be a practitioner:

• You use AI‑assisted development tools (e.g. Claude Code, Cursor, Gemini) as a natural part of your daily workflow — to accelerate velocity, raise code quality, and explore solution space faster.

• You evaluate AI output critically. You know when to trust it, when to push back, and how to iterate toward something production‑worthy.

• You’ve worked with LLM APIs or agentic frameworks in a real product context and understand their failure modes ― hallucination, latency, cost, and user trust.

• You bring a product builder’s instinct to AI features: you’re asking “does this actually help the user?”…