At a Glance
- Tasks: Design and deliver AI-driven software solutions that revolutionise the insurance industry.
- Company: Join hyperexponential, a cutting-edge tech company transforming insurance with AI.
- Benefits: Competitive salary, equity options, generous holiday, and a £5,000 training budget.
- Other info: Dynamic, fast-paced environment with opportunities for personal and professional growth.
- Why this job: Be part of a team redefining software development with innovative AI practices.
- 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. Backed by a16z, Highland Europe, and Battery Ventures, we’re scaling globally - already trusted by nearly 50 of the world’s largest insurers.
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. Beyond delivery, you will help translate these AI-native practices into repeatable patterns that raise the baseline engineering capability of the entire organisation.
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 for individual and group development. 25 days of holiday plus 8.
Remote Senior AI Engineer - UK remote in Manchester employer: hyperexponential
At hyperexponential, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to make impactful contributions in the rapidly evolving field of AI and insurance. With a strong focus on professional growth, we offer generous training budgets, equity opportunities, and a collaborative environment where your ideas can flourish. Join us remotely in the UK and be part of a team that is not only redefining software development but also shaping the future of critical decision-making in a $7 trillion industry.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior AI Engineer - UK remote in Manchester
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at hyperexponential or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to hyperexponential.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like hyperexponential.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like hyperexponential that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Remote Senior AI Engineer - UK remote in Manchester
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at hyperexponential.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at hyperexponential and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at hyperexponential
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If hyperexponential uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
