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For Companies At a Glance
- Tasks: Architect and build AI-driven products, tackling complex engineering challenges.
- Company: Join Hyperexponential, a leading AI platform transforming the insurance industry.
- Benefits: Enjoy a £5,000 training budget, 25 days holiday, and private healthcare.
- Why this job: Make a real impact with cutting-edge AI technology in a dynamic environment.
- Qualifications: Experience in Python, cloud infrastructure, and delivering complex production systems.
- Other info: Collaborative culture with exceptional growth opportunities and fun team events.
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 HxAI Team
At hx, AI is central to our mission. We are redefining how the insurance industry builds software and makes decisions, powered by generative AI. Our team combines state-of-the-art LLM technology with deep insurance domain expertise to solve problems no one else is tackling.
What You’ll Be Doing
- Architect and build AI-driven products from scratch, tackling complex problems with no established playbook.
- Lead the design and implementation of novel features such as domain-specific coding copilots within hx’s proprietary development environment.
- Partner with cross-functional peers to shape architectural decisions, ensuring scalability, reliability, and long-term sustainability of our AI systems.
- Experiment, prototype, and ship rapidly, seeing innovations move quickly from idea to production in live customer environments.
- Contribute to the evolution of hx’s AI technical vision, embedding best practices and advancing engineering excellence across the team.
- Act as a multiplier: mentoring engineers, raising standards, and building a culture of curiosity, speed, and quality.
What You’ll Need To Have Done
- Built and shipped technically complex production systems in Python (ideally, but we are also open to Rust and Kotlin, with TypeScript as a strong plus).
- Solved messy, real-world engineering problems involving data, scale, performance, or reliability.
- Taken end-to-end ownership of technical initiatives: identifying opportunities, designing solutions, and delivering impact.
- Communicated complex technical ideas clearly to a range of stakeholders.
- Influenced engineering direction and culture, scaling local wins into broader practices.
- Delivered AI or ML-powered products from prototype to scale.
You’re unlikely to thrive here if
- You prefer predefined playbooks and predictable projects over ambiguous, exploratory work.
- You see your contribution as limited to code, rather than shaping products and systems end-to-end.
- You’re uncomfortable with rapid iteration and experimentation in live environments.
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 (e.g., code review, system design) (120 minutes).
- Values Interview with Tech Leadership (60 minutes).
- Offer.
Our commitment to Diversity
Hx’s are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact.
Next steps
If this opportunity resonates with you, we encourage you to apply or share it with your connections!
Lead Software Engineer - AI Products, London employer: hyperexponential
Contact Detail:
hyperexponential Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Software Engineer - AI Products, London
✨Tip Number 1
Network like a pro! Reach out to people 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
Prepare for your interviews by diving deep into hx's products and mission. Show us you understand how AI is reshaping the insurance industry and be ready to discuss how your skills can contribute to that vision.
✨Tip Number 3
Don’t just talk about your technical skills; share stories of how you've tackled complex problems in the past. We love hearing about real-world challenges and how you’ve made an impact!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we promise to provide feedback, so you’ll know where you stand.
We think you need these skills to ace Lead Software Engineer - AI Products, London
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI and its potential in the insurance industry shine through. We want to see how you connect your skills with our mission of transforming decision-making using cutting-edge technology.
Be Specific About Your Experience: Don’t just list your previous roles; dive into the details! Share specific projects where you've tackled complex problems or built innovative solutions. We love seeing how you've taken ownership and made an impact in your past work.
Tailor Your Application: Make sure to customise your application for this role. Highlight experiences that align with the responsibilities mentioned in the job description. We appreciate when candidates take the time to show us why they’re a perfect fit for our team.
Keep It Clear and Concise: While we love a good story, clarity is key! Make your application easy to read and straight to the point. Use bullet points if it helps, and ensure your technical skills and achievements are front and centre. Remember, we want to get to know you quickly!
How to prepare for a job interview at hyperexponential
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Rust, and Kotlin, as these are key for the role. Brush up on your knowledge of distributed services and cloud-based infrastructure, and be ready to discuss how you've tackled complex engineering problems in the past.
✨Showcase Your Problem-Solving Skills
Prepare examples of messy, real-world engineering challenges you've faced and how you solved them. Highlight your end-to-end ownership of projects, from identifying opportunities to delivering impactful solutions, as this aligns with what they’re looking for.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll need to communicate effectively with a range of stakeholders, so think about how you can convey your ideas clearly and concisely during the interview.
✨Embrace Ambiguity
Since the company thrives on rapid iteration and experimentation, be prepared to discuss your comfort level with ambiguous projects. Share experiences where you’ve successfully navigated uncertainty and contributed to innovative solutions.