Senior AI Engineer - UK remote

About hyperexponential (hx) At hyperexponential, we’re building the AI-powered platform that enables the world’s most critical decisions in a $7 trillion industry, which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms. Until now, insurance has been making billion-dollar decisions using outdated tools. We’re changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence. Backed by a16z, Highland Europe, and Battery Ventures, we’re scaling globally - already trusted by nearly 50 of the world’s largest insurers, with zero churn and billions in premiums flowing through hx. What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world’s first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates. What makes hx different is the people who build it. Here, impact isn’t tied to title or tenure; it’s defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you’ll do the best, hardest work of your life in a company engineered to endure. If that sounds like you, join us in building what comes next. About the AI Strike Team The AI Strike Team exists to reimagine how software is built at hx. Rather than layering AI tools on top of traditional development workflows, this team is redefining the software development lifecycle using AI-native practices, enabling dramatic improvements in both engineering velocity and product quality. Operating as a high-autonomy group within the wider Technology organisation, the team delivers complex product epics significantly faster than traditional teams while building the guardrails required to ensure safety, stability, and compliance at scale. Their work spans the entire hx platform, collaborating closely with product, platform, and infrastructure teams to ship meaningful customer value quickly and responsibly. As a Senior member of this team, you will operate across the entire codebase, using AI tools and agentic workflows to rapidly understand systems, ship features, and improve developer productivity. You will also help translate these practices into repeatable patterns that raise the baseline engineering capability of the organisation. We're looking for engineers who think like product builders: curious about customers, opinionated about what's worth building, and focused on shipping things that matter. In an AI-native team, the lines between engineering, product, and design blur - and we want people who lean into that. Check out our Engineering Candidate Hub for a behind the scenes look at the team you would be joining! What you’ll be doing Design and deliver complex product epics at 3–5x the velocity of baseline engineering teams, ensuring high-quality functionality reaches customers faster without compromising system integrity. Architect AI-assisted guardrails across the SDLC, including autonomous testing pipelines, AI-driven security reviews, and automated code quality agents that maintain stability while enabling rapid iteration. Use AI tools to rapidly map dependencies and navigate unfamiliar parts of the hx codebase, safely delivering cross-domain improvements without relying on traditional ownership boundaries. Build and evolve AI-native development workflows, integrating tooling across coding, testing, CI/CD, and deployment environments. Translate successful strike team practices into reusable patterns, tooling, and paved road workflows that scale across the wider engineering organisation. Work directly with product, design, and customers to shape what gets built, pushing back on scope, finding simpler solutions, and focusing engineering effort on the problems that matter most, with ownership defined by impact rather than title. What you’ll need to have done Built or significantly evolved AI-assisted engineering workflows that measurably accelerated delivery speed while maintaining production reliability. Delivered complex product features across unfamiliar codebases by rapidly understanding architecture, dependencies, and constraints. Architected scalable cloud infrastructure and CI/CD systems that enabled fast, reliable software delivery in production environments. Implemented automated testing, security, or quality systems that reduced operational risk while increasing development velocity. Evaluated and integrated modern AI development tooling, selecting pragmatic solutions that improved productivity and software quality. Partner