At a Glance
- Tasks: Design and build cutting-edge AI systems with full ownership of greenfield projects.
- Company: Dynamic AI tech scale-up backed by top-tier investors and world-class engineers.
- Benefits: Up to £140k salary, bonus, equity, and a culture that rewards innovation.
- Other info: Join a flat, collaborative team focused on continuous improvement and growth.
- Why this job: Make a real impact in a high-tech environment while working on meaningful challenges.
- Qualifications: 4+ years in software engineering with a passion for AI and modern tech stacks.
The predicted salary is between 140000 - 140000 € per year.
Client: AI Tech Scale-Up – Backed by Top-Tier Investors, Led by World-Class Engineers
Salary: Up to £140k + Bonus + Equity
Location: London
Sells: Work on cutting-edge AI systems that power innovation at scale led by world-class engineers (Competitive programmers, ex HFT, big tech etc.). Total ownership of greenfield projects, modern tech stack (Typescript/React), and a culture that rewards curiosity, autonomy, and clean engineering.
An AI Tech company is expanding its high-calibre engineering team and looking for Software Engineers who thrive on building elegant, scalable systems from the ground up. You’ll be joining a small, world-class team working on distributed backend and frontend platforms, data-driven AI tools, and core infrastructure supporting advanced technologies. This is a true software engineering role where you'll be designing, building, and scaling complex systems that solve real problems!
Role
- Design and build production-grade backend systems using Typescript and React
- Develop distributed, high-performance services and APIs for AI-driven platforms
- Contribute to architecture decisions, scalability planning, and system optimisation
- Implement best practices in testing, CI/CD, and performance monitoring
- Collaborate closely with product, AI, and data teams to deliver end-to-end solutions
- Drive continuous improvement and innovation across the engineering organisation
Skills
- 4+ years of experience as a Software Engineer building modern backend systems
- Knowledge of system design, data modelling, and distributed architecture
- Understanding of software engineering best practices — testing, CI/CD, clean code
- A genuine interest in AI systems, automation, and applying engineering to real-world impact
Sells
- Chance to shape core architecture in a high-impact Tech environment
- Flat, engineering-led structure with autonomy and trust
- Work on complex, meaningful technical problems that matter
- Strong equity offering and long-term growth opportunities
- Culture built around innovation, ownership, and collaboration
Product Engineer (AI Start-Up) - Up to £140k + Bonus + Equity employer: Hunter Bond
Join a pioneering AI tech scale-up in London, where you'll be empowered to take total ownership of greenfield projects and work alongside world-class engineers. With a culture that champions curiosity and autonomy, you'll have the opportunity to tackle complex technical challenges while enjoying competitive compensation, strong equity offerings, and a commitment to your professional growth in a collaborative environment.
StudySmarter Expert Advice🤫
We think this is how you could land Product Engineer (AI Start-Up) - Up to £140k + Bonus + Equity
✨Tip Number 1
Network like a pro! Reach out to people in the AI and tech space, especially those who work at companies you’re interested in. A friendly chat can open doors that a CV just can’t.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those involving Typescript and React. This gives potential employers a taste of what you can do beyond the written application.
✨Tip Number 3
Prepare for interviews by brushing up on system design and architecture principles. Be ready to discuss how you’d tackle real-world problems with your engineering skills. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Product Engineer (AI Start-Up) - Up to £140k + Bonus + Equity
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Product Engineer role. Highlight your experience with Typescript, React, and any AI-related projects you've worked on. We want to see how you can contribute to our cutting-edge tech!
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your personality and passion for AI systems. Share why you're excited about this role and how your background makes you a perfect fit. Remember, we love curiosity and innovation!
Showcase Your Projects:If you've worked on any greenfield projects or have examples of scalable systems you've built, make sure to include them. We’re keen to see your hands-on experience and how you approach complex problems in real-world scenarios.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Hunter Bond
✨Know Your Tech Stack
Make sure you’re well-versed in Typescript and React, as these are key to the role. Brush up on your knowledge of modern backend systems and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex problems you've tackled in previous roles. Highlight your approach to system design and optimisation, and be ready to discuss how you’ve contributed to architecture decisions.
✨Demonstrate Your Passion for AI
Since this is an AI tech scale-up, express your genuine interest in AI systems. Share any relevant projects or experiences that showcase your enthusiasm for automation and real-world impact through engineering.
✨Emphasise Collaboration
This role involves working closely with product, AI, and data teams. Be prepared to discuss how you’ve successfully collaborated in the past, and share examples of how you’ve driven continuous improvement in a team setting.
