Join to apply for the Staff Engineer - AI Products role at hyperexponential.

This role is located in London, England, United Kingdom and offers a hybrid schedule.

Overview

We’re building the world’s first domain-specific AI peer-programmer for insurance—think GitHub Copilot, but trained in actuarial science and regulation. You’ll help reinvent how insurers code, model risk, and make billion-dollar decisions by architecting and engineering AI-driven products from scratch and leading architectural evolution at scale.

Your Mission

As a Staff Engineer, you’ll lead architectural evolution, drive engineering excellence, and solve complex, scale-related challenges. You’ll design and implement innovative AI-powered solutions, including specialised coding copilots within our proprietary development environment. You’ll have significant autonomy to lead experiments and deploy your innovations to solve real-world insurance challenges.

What Your First 3 Months Will Look Like

1. Onboarding: dive into our AI systems, architecture, and product suite; ship your first meaningful contribution by month end.
2. Ownership: take responsibility for a scoped feature or enhancement in one core product and push changes into production.
3. .integration: become a fully embedded team member, contribute to architectural decisions, and help evolve our AI capabilities at scale.

What You’re a Perfect Fit

You thrive on impact and ship real-world products. You own projects end-to-end, are proactive with ambiguous problems, and enjoy solving high-stakes business challenges at the intersection of AI and industry risk.

• Loves shipping real-world products that millions rely on
• Owns projects end-to-end: prototype to production, experimentation to scale
• Self-directed with strong problem-solving and delivery mindset
• Interested in applying AI to high-stakes business problems
• Comfortable with messy, real-world data and building robust AI solutions

Your Toolkit Includes

• Extensive hands-on experience with cloud-based architectures, distributed systems, and scalable, secure solutions
• Deep engineering expertise in Python
• Self-starter mindset with the ability to spot high-leverage opportunities
• Strong communication skills to explain complex concepts simply

Bonus Points If You Bring

• Production-grade ML/AI systems at scale in cloud environments
• Distributed systems and MLOps experience
• Hands-on experience with LLMs in production for NLP
• Open source, talks, or community contributions

Why Other Engineers Joined Us

• Profitable and rapidly scaling with strong growth and notable funding
• Collaborative, high-performing culture with 80+ engineers
• Meaningful impact by solving real problems with cutting-edge solutions

What We Offer

• Salary + Equity (stock options)
• Training and conference budget
• Mental health support and wellbeing allowances
• Team meals, snacks, and a supportive office culture
• Huge opportunity for personal development as we grow

This role is London-based (flexible hybrid, no fixed office days). Learn more about our ways of working here: https://hx.wiki/wow

Interview Process

Initial chat with our Talent team, followed by:

• Manager Interview
• Technical Skills Interview
• Values Interview

Background checks will be conducted as part of the hiring process in compliance with governance policies. All applicant data will be processed in accordance with data protection regulations and our privacy policy.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Software Development

Referrals increase your chances of interviewing at hyperexponential. Sign in to set job alerts for similar roles.