At a Glance
- Tasks: Design and deliver AI-driven software solutions at lightning speed while ensuring top-notch quality.
- Company: Join hyperexponential, a pioneering tech company transforming the insurance industry with AI.
- Benefits: Enjoy a £5,000 training budget, 33 days holiday, and private healthcare.
- Other info: Dynamic culture with hackathons, socials, and exceptional growth opportunities.
- Why this job: Be part of a team redefining software development and make a real impact in a vital industry.
- Qualifications: Experience in AI-assisted engineering workflows and cloud infrastructure is essential.
The predicted salary is between 70000 - 90000 £ 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. Operating as a high-autonomy group within the wider Technology organisation, the team is tasked with delivering complex product epics significantly faster than traditional teams while ensuring safety, stability, and compliance at scale.
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.
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. We offer equity across all roles at hx, making it a significant component of total compensation.
Benefits:
- £5,000 training and conference budget.
- 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.
- 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:
We are committed to creating an environment where everyone can thrive, grow, and make an impact. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions and design solutions that endure.
Next steps:
If this opportunity resonates with you, we encourage you to apply or share it with your connections!
Remote Senior AI Engineer - UK remote in Essex 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, generous benefits including a £5,000 training budget, and a commitment to personal growth through diverse opportunities. With a focus on building cutting-edge AI solutions in a supportive environment, our team members are empowered to make impactful contributions while enjoying the flexibility of remote work.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior AI Engineer - UK remote in Essex
✨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 open doors and give you insights that job descriptions just can't.
✨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 hands-on experience.
✨Tip Number 3
Prepare for the technical assessment! Brush up on system design and be ready to discuss how you've tackled complex problems in the past. Think about how you can apply AI-native practices in your examples.
✨Tip Number 4
Don’t forget to check out our Engineering Candidate Hub! It’s packed with info about the team and what we’re building. Plus, applying through our website gives you a direct line to us, making it easier to get noticed.
We think you need these skills to ace Remote Senior AI Engineer - UK remote in Essex
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 innovative approach.
Tailor Your Experience:Make sure to highlight relevant projects or roles that showcase your skills in AI-assisted engineering workflows. We’re looking for specific examples of how you've accelerated delivery speed while maintaining reliability, so don’t hold back!
Be Clear and Concise:While we love a good story, clarity is key! Keep your application focused and to the point. Use bullet points where necessary to make it easy for us to see your achievements and skills at a glance.
Apply Through Our Website:We encourage you to apply directly through our careers page. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, you’ll find more info about our culture and team there!
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 the impact your solutions had on the overall project.
✨Emphasise Collaboration and Mentorship
Talk about your experience working with teams to adopt new technical practices. Share specific instances where you mentored others or contributed to raising engineering standards, as this aligns with the collaborative culture at hx.
