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 with opportunities for personal growth and collaboration.
- 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.
- Quarterly team breakfasts and lunches.
- 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 York 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 York
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at hx. A friendly chat can open doors that applications alone can't. Use LinkedIn or even Twitter to connect and engage with potential colleagues.
✨Tip Number 2
Prepare for your interviews by diving deep into hx's mission and values. Understand how AI is reshaping the insurance landscape and be ready to discuss how your skills align with their goals. Show them you’re not just another candidate, but someone who gets what they’re about!
✨Tip Number 3
Practice makes perfect! Get comfortable with technical assessments by working on similar problems beforehand. Use platforms like LeetCode or HackerRank to sharpen your coding skills and get familiar with system design challenges.
✨Tip Number 4
Don’t forget to showcase your passion for AI and innovation during interviews. Share examples of how you've used AI in your past projects and how you envision it transforming the future of software development at hx. Let your enthusiasm shine through!
We think you need these skills to ace Remote Senior AI Engineer - UK remote in York
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior AI Engineer role. Highlight your experience with AI-assisted engineering workflows and how you've tackled complex product features in unfamiliar codebases. We want to see how you can bring your unique skills to our team!
Showcase Your Impact:When detailing your past experiences, focus on the impact you've made rather than just listing tasks. Use metrics where possible to demonstrate how your contributions have accelerated delivery speed or improved software quality. We love seeing tangible results!
Be Authentic:Let your personality shine through in your application. We value authenticity and want to get a sense of who you are beyond your technical skills. Share your passion for AI and how it drives you to innovate in software development.
Apply Through Our Website:We encourage you to apply directly through our careers page. This way, your application goes straight to our dedicated talent team, ensuring it gets the attention it deserves. Plus, you'll find more opportunities that might pique your interest!
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 research hyperexponential's platform and its architecture. Being able to talk about how you would navigate unfamiliar codebases and deliver features will show your adaptability and technical prowess.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex product features or systems you've delivered. Highlight how you approached challenges, particularly in ambiguous situations, and how you rethought traditional engineering practices to achieve results.
✨Emphasise Collaboration
Since the role involves partnering with various teams, be ready to discuss your experience in mentoring and collaborating with others. Share specific instances where you influenced engineering practices or helped raise standards within a team.