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Until now, insurance has been making billion-dollar decisions using outdated tools.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 Ingestion Team AI is central to hx’s ambition to reinvent how insurers move from submission to decision. A significant part of that challenge begins before pricing even starts: transforming messy, inconsistent, insurance-specific documents into structured, reliable data that underwriters can trust. The AI Ingestion team owns this critical first mile.

Within this team, we build and scale document extraction and data transformation systems tailored to the complexity of specialty insurance. We operate at the intersection of large language models, classical document understanding techniques, evaluation-driven design, and production-grade infrastructure. Our outputs directly determine whether insurers can automate workflows across multiple lines of business with confidence.

As a Senior AI Engineer focused on Document Extraction , you will take ownership of solving high-stakes, insurance-specific extraction problems. Over the next 6 to 12 months, your mission will be to automate key data extraction and cleansing workflows across core specialty lines, hitting strict accuracy and consistency benchmarks while ensuring our systems are robust, observable, and built to scale.

What You’ll Be Doing

• Designed and delivered high-accuracy document extraction pipelines that automated key data capture across multiple specialty lines of business, enabling measurable reductions in manual processing during customer go-live.
• Built and productionised data cleansing and manipulation capabilities within our ingestion system, improving consistency and reliability of downstream pricing inputs.
• Defined and enforced rigorous evaluation-driven development practices, creating robust evaluation sets and benchmarks that guided model and pipeline improvements.
• Improved our evaluation infrastructure for complex ingestion scenarios, enabling faster iteration cycles and clearer visibility into performance trade-offs.
• Partnered directly with customers during go-live, diagnosing and resolving integration bottlenecks and production issues to ensure smooth technical rollouts.

What You’ll Need To Have Done

• Built and deployed document extraction or document understanding systems that achieved measurable accuracy improvements in production environments.
• Designed evaluation frameworks and datasets that enabled rigorous, repeatable measurement of model or pipeline performance.
• Delivered data processing or transformation systems that were scalable, observable, and maintainable under real-world load.
• Taken end-to-end ownership of complex AI features, from problem framing and experimentation through to production rollout and monitoring.
• Collaborated across engineering, product, and customer-facing teams to ship solutions that solved real user problems rather than isolated research challenges.
• Raised technical standards within your team by improving experimentation practices, documentation, or review processes beyond what was originally expected.

You’re unlikely to thrive here if

• You prefer clearly defined, static problem statements over ambiguous, evolving real-world challenges.
• You optimise for elegant prototypes rather than production-grade systems that must endure.
• You are uncomfortable taking full ownership of outcomes, including customer impact and operational reliability.
• If reading our Culture Document leaves you feeling neutral rather than energised, hx may not be the place where you’ll do your best work. We’re building something that asks for commitment and conviction, and we want you to feel excited by the opportunity to grow with us.

Compensation At hx, we’re committed to salary transparency. You’ll always have clarity on pay early in the process - our Talent Partner will share details with you during initial conversations - and we’re working towards publishing salary information for all roles globally.

Because we’re building at the intersection of technology/SaaS and insurance, our roles don’t always map neatly onto traditional benchmarks. Our approach is to design compensation that’s competitive in the market, fair across teams, and aligned with the impact our people make.

Equity: We offer equity across all roles at hx, making it a significant component of total compensation. Your talent partner will be able to share more details about this.

Benefits

• £5,000 training and conference budget for individual and group development.
• 25 days of holiday plus 8 bank holidays (33 days total).
• Company pension scheme via Penfold.
• Mental health support and therapy via Spectrum.life.
• Individual wellbeing allowance via Juno.
• Private healthcare insurance through AXA.
• Income protection and Life Insurance.
• Cycle to Work Scheme

Additional Perks

• Top-spec equipment (laptop, screens, adjustable desks, etc.).
• Regular remote and in-person hackathons, lunch and learns, socials, and game nights.
• Exceptional opportunities for personal development and growth as we build something remarkable together.

Interview Process

• Initial call with Talent team (30 minutes)
• Manager Interview (60 minutes)
• Technical Assessment (e.g., code review, system design) (120 minutes)
• Values Interview with Tech Leadership (60 minutes)
• Offer

Our commitment to Diversity hxer's are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact. We recognise there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive.

Diversity is not just the right thing to do, it is key to solving the complex challenges we choose to take on. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions, push boundaries, and design solutions that endure.

If you’re energised by complexity and motivated to grow, we encourage you to apply and join our global team.

Next steps If this opportunity resonates with you, we encourage you to apply or share it with your connections! Our dedicated talent team reviews all applications, and we promise to provide feedback regardless of the outcome.

For more information about applying and to view other opportunities, you can visit our careers page.

Please note that background checks will be conducted as part of the hiring process to ensure compliance with our governance policies. We handle all background checks sensitively and in full compliance with relevant regulations. All applicant data will be processed in accordance with data protection regulations and our privacy policy.