At a Glance
- Tasks: Design and build innovative AI memory systems as a founding engineer.
- Company: Exciting venture-backed startup in London focused on personal intelligence.
- Benefits: Equity opportunities, remote work, and a chance to shape the future of AI.
- Other info: Join a dynamic team where your decisions directly influence product direction.
- Why this job: Be a key player in defining AI technology and its impact on users.
- Qualifications: Experience in backend or full-stack engineering with a startup mindset.
The predicted salary is between 60000 - 80000 £ per year.
A venture-backed London startup is building AI-native personal judgment infrastructure.
Join a high-velocity, early-stage team as the first engineering hire to build the future of personal intelligence from the ground up. You will design retrieval-augmented memory systems and lead macOS development to help users compound their knowledge into sharper instincts, directly shaping the technical architecture and product direction alongside the founders.
Location: London, UK or Remote
Why this role is remarkable:
- Transition from a ticket queue to a founding role where you define the machine and its purpose rather than just slotting into an existing process.
- Join a venture-backed startup at the ground floor, gaining meaningful equity and the opportunity to influence the burgeoning AI ecosystem in London.
- Work in a high-agency environment where your decisions on architecture and stack choices directly determine the trajectory of a new category in AI.
What You Will Do:
- Design and architect core memory infrastructure, focusing on retrieval, reasoning, and AI agent systems that make personal context useful.
- Lead the development of the macOS desktop application, owning the user experience from initial concept to cross-platform expansion.
- Collaborate directly with the CTO to set the engineering culture, defining how the team ships code, reviews work, and balances quality with speed.
The ideal candidate:
- Demonstrated expertise in backend or full-stack engineering with a high-agency mindset and a strong bias toward shipping over over-processing.
- Experience building products from zero, ideally within a startup environment or through significant independent projects in the AI or developer tool space.
- Deep intuition for product design and a customer-obsessed approach to gathering user feedback and iterating on complex, ambiguous technical problems.
Founding Engineer at venture-backed AI memory infrastructure startup employer: Jack & Jill
As a founding engineer at our venture-backed AI memory infrastructure startup in London, you will be part of a dynamic and innovative team that values your input and expertise. We offer a high-agency work culture where you can shape the future of personal intelligence while enjoying meaningful equity and growth opportunities. Join us to make a significant impact in the burgeoning AI ecosystem, all within a supportive environment that encourages collaboration and creativity.
StudySmarter Expert Advice🤫
We think this is how you could land Founding Engineer at venture-backed AI memory infrastructure startup
✨Tip Number 1
Network like a pro! Reach out to people in the AI and startup scene, especially those who are already working at companies you admire. A friendly chat can lead to insider info or even a referral, which can give you a leg up in the hiring process.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI or memory systems. This gives potential employers a tangible look at what you can do and how you think, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s mission and products. Be ready to discuss how your experience aligns with their goals, and don’t shy away from sharing your vision for the future of personal intelligence. We want to see your passion!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our team and shaping the future of AI together.
We think you need these skills to ace Founding Engineer at venture-backed AI memory infrastructure startup
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and personal intelligence shine through. We want to see how your experiences and projects align with our mission to build innovative memory infrastructure.
Highlight Your Startup Experience:If you've worked in a startup or built products from scratch, make sure to emphasise that! We love candidates who understand the fast-paced environment and can adapt quickly, so share those stories with us.
Be Clear and Concise:While we appreciate creativity, clarity is key in your written application. Make your points straightforward and easy to digest, as this reflects the way you communicate technical concepts.
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 about the role!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on your backend and full-stack engineering skills, especially around memory infrastructure and AI systems. Be ready to discuss your past projects and how they relate to the role.
✨Showcase Your Startup Experience
If you've worked in a startup before, share those experiences! Talk about how you contributed to building products from scratch and how you navigated challenges. This will demonstrate your high-agency mindset and ability to thrive in a fast-paced environment.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and design thinking. Practice explaining your thought process clearly and concisely. You might be asked to design a system or solve a coding challenge, so be ready to showcase your skills live!
✨Emphasise Collaboration and Culture Fit
Since you'll be working closely with the CTO and shaping the engineering culture, highlight your collaborative experiences. Discuss how you’ve contributed to team dynamics and how you approach feedback and iteration. This will show you’re not just a tech whiz but also a great team player.
