At a Glance
- Tasks: Design and deliver AI-driven software solutions at lightning speed.
- Company: Join a pioneering tech company transforming the insurance industry with AI.
- Benefits: Generous training budget, 33 days holiday, private healthcare, and equity options.
- Other info: Dynamic culture focused on diversity, growth, and innovation.
- Why this job: Be part of a team redefining software development and making a real-world impact.
- Qualifications: Experience in AI-assisted engineering workflows and cloud infrastructure.
The predicted salary is between 80000 - 100000 £ per year.
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. 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.
About the AI Strike Team
The AI Strike Team exists to reimagine how software is built at hx. This team is redefining the software development lifecycle using AI-native practices, enabling dramatic improvements in both engineering velocity and product quality. Their work spans the entire hx platform, collaborating closely with product, platform, and infrastructure teams to ship meaningful customer value quickly and responsibly.
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.
- Use AI tools to rapidly map dependencies and navigate unfamiliar parts of the hx codebase.
- Build and evolve AI-native development workflows, integrating best-in-class tooling across coding, testing, CI/CD, and deployment environments.
- Translate successful strike team practices into documented patterns, reusable tooling, and “paved road” workflows.
- Partner with engineers and technical leaders to share knowledge, mentor teams, and accelerate adoption of AI-native engineering practices.
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 or systems across unfamiliar codebases.
- Architected scalable cloud infrastructure and CI/CD systems.
- Implemented automated testing, security, or quality systems.
- Evaluated and integrated modern AI development tooling.
- Led or influenced engineering teams to adopt new technical practices.
You’re unlikely to thrive here if
- You prefer clearly defined ownership boundaries and predictable roadmaps.
- You are uncomfortable challenging established engineering practices.
- You prefer incremental optimisation of existing workflows.
Compensation
At hx, we’re committed to salary transparency. 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.
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.
Interview Process
- Initial call with Talent team (30 minutes).
- Manager Interview (60 minutes).
- Technical Assessment (system design whiteboard) (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 recognise there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive.
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.
Remote Senior AI Engineer - UK remote in Devon employer: hyperexponential
At hyperexponential, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our remote Senior AI Engineers enjoy a competitive salary, equity options, and a generous training budget, all while working in a dynamic environment that encourages personal growth and the exploration of cutting-edge AI technologies. With a commitment to diversity and inclusion, we empower our employees to make impactful contributions, ensuring that every team member feels valued and inspired to excel.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior AI Engineer - UK remote in Devon
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at hx or similar companies. A friendly chat can lead to insider info about job openings and even referrals, which can give you a leg up in the hiring process.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects that highlight your AI engineering prowess, make sure to share it during interviews. It’s a great way to demonstrate your capabilities beyond just words.
✨Tip Number 3
Prepare for technical assessments by practicing coding challenges and system design problems. Familiarise yourself with AI tools and workflows, as they’re key to what hx is all about. The more comfortable you are, the better you’ll perform!
✨Tip Number 4
Don’t forget to research hx’s culture and values! Understanding what makes them tick will help you tailor your responses in interviews and show that you’re genuinely excited about joining their mission. Plus, it’ll help you figure out if you’re a good fit!
We think you need these skills to ace Remote Senior AI Engineer - UK remote in Devon
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and its potential in transforming industries shine through. We want to see how you connect with our mission at hyperexponential and how your experience aligns with our goals.
Tailor Your Experience:Make sure to highlight your relevant experience in AI-assisted engineering workflows and complex product delivery. We love seeing specific examples of how you've tackled challenges and improved processes in your previous roles.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your skills and experiences effectively. Remember, less is often more!
Apply Through Our Website:We encourage you to apply directly through our careers page. This way, you’ll ensure your application gets to the right people, and you can explore other exciting opportunities we have available at hyperexponential.
How to prepare for a job interview at hyperexponential
✨Know Your AI Tools
Familiarise yourself with the latest AI development tools and practices. Be ready to discuss how you've used these tools in past projects, especially in relation to improving delivery speed and maintaining reliability.
✨Understand the Codebase
Before your interview, take some time to explore similar codebases or projects. Being able to quickly map dependencies and navigate unfamiliar systems will show that you can adapt and thrive in a dynamic environment.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex product features or systems you've delivered. Highlight how you approached challenges, particularly in unfamiliar territories, and how you ensured high-quality outcomes.
✨Emphasise Collaboration and Mentorship
Be ready to discuss how you've influenced engineering teams to adopt new practices. Share specific instances where you've mentored others or documented processes that improved team performance and standards.
