Senior AI Engineer

Salary: £67,000 - 107,000 per year

Requirements:

• We want production AI agent engineering experience, with AI systems shipped to real users at meaningful scale.
• You should understand context management, including retrieval strategies, chunking, conversation memory, and summarisation.
• You should have experience with model selection and routing based on capability, latency, cost, and reliability.
• You should understand cost engineering, including token economics, caching, prompt optimisation, and batching.
• You should have experience designing tool use and agent augmentation, including MCPs, APIs, data contracts, and failure handling.
• You should have experience building evaluation frameworks for accuracy, safety, helpfulness, and domain-specific criteria.
• You should be able to work across the stack, including LLM integration, backend services, data pipelines, and enough frontend to ship end to end.
• You should be able to communicate technical decisions clearly, document designs, write strong pull requests, and give direct feedback constructively.
• Experience building AI systems in EdTech, regulated content, or other quality-sensitive domains would set you apart.
• Experience as a founding or early-stage engineer at a startup would set you apart.
• Published thinking or external contributions in AI engineering would set you apart.
• Experience with multi-agent coordination would set you apart.
• Practical experience with MCP or equivalent agent integration standards would set you apart.

Responsibilities:

• Own and deliver complete agent systems from architecture through implementation, evaluation, and production operation.
• Design context and retrieval strategies, including conversation memory, summarisation, and chunking logic.
• Build evaluation frameworks and automated eval pipelines, including human-in-the-loop review processes.
• Design and build tool integrations, including MCPs, APIs, data contracts, and reliable error handling.
• Influence technical direction by contributing to architectural decisions and proposing better approaches.
• Raise the bar through code review and pairing with less experienced engineers on hard problems.
• Use Claude Code as the primary development workflow, setting context, defining constraints, and reviewing output critically.

Technologies:

• AI
• Backend
• Claude Code
• Frontend
• LESS
• LLM
• MCP
• Model Training

More:

We are Multiverse, the UKs largest apprenticeship provider and its first EdTech unicorn. We are the upskilling platform for AI and tech adoption, partnering with 1,500+ companies and helping learners build critical AI, data, and tech skills that have driven $2bn+ ROI for employers. We announced $70 million in strategic funding in April 2026, led by Schroders Capital with participation from StepStone Group, Lightspeed Venture Partners and General Catalyst, and at a $2.1bn valuation we are Europes first EdTech double unicorn. We have a strong operational footprint, 800+ employees, and ambitious plans to keep scaling. This is a full-time, hybrid Engineering role based in London. Our AI Transformation team is a small, focused squad working closely with our wider engineering organisation to rebuild how we work and help make Multiverse an AI-first company from the core out. Benefits include 27 days holiday plus additional days off, private medical insurance, a medical cashback scheme, life insurance, gym membership and wellness resources, hybrid working, a work-from-anywhere allowance, and regular team connection time. We are an equal opportunities employer and are committed to safeguarding.

last updated 36 week of 2026