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For Companies At a Glance
- Tasks: Build impactful AI products from ideation to deployment in a fast-paced environment.
- Company: Elite AI product incubator backed by a major software investor.
- Benefits: Competitive salary, ownership of projects, and career acceleration.
- Why this job: Join a team of world-class builders and make a real difference in AI.
- Qualifications: 5+ years in AI product development with full-stack engineering skills.
- Other info: Dynamic, high-performance culture with a focus on innovation and growth.
The predicted salary is between 36000 - 60000 £ per year.
Are you ready to build AI products that matter—at scale? We’re an elite AI product incubator, backed by one of Europe’s largest software investors ($100B+ AUM), and we’re looking for exceptional AI Product Engineers to join our high-velocity team.
Who We Are
We’re not consultants. We’re builders. Our mission: conceive, ship, and scale real AI products that generate revenue and serve millions—embedded directly inside established SaaS and services businesses. Think: startup pace, zero startup risk, massive impact.
The Opportunity
- End-to-End Ownership: Architect, develop, and deploy production AI systems from day one—serving real customers, not just building demos.
- Serial Product Launches: Work in 9–18 month sprints, embedding your AI solutions in businesses with existing users, infrastructure, and go-to-market engines.
- Founders’ Mindset, Global Backing: Join as a serial AI product entrepreneur, with the resources and reach of a premier software investor.
What You’ll Bring:
- Technical Excellence: 5+ years building and shipping scalable AI products in production. Full-stack engineering: Infra (K8s, cloud), backend (Python, FASTapi), frontend (React, TypeScript). Real-world experience with modern AI/ML frameworks and GenAI. Track record delivering products to thousands of users.
- Execution Velocity: Proven ability to ship at speed—without sacrificing quality. Thrive in high-growth startups or similarly fast-paced environments. Comfortable with ambiguity and rapid iteration. Strong opinions, loosely held—decisive in the face of incomplete data.
- Product & Business Acumen: Intuitive sense for what makes products valuable to users. Translate technical complexity into business value. Experience collaborating with customers and stakeholders. (Bonus) Familiarity with enterprise software landscapes.
- Mindset & Drive: Relentless curiosity about AI and technology. Hunger to build products that truly matter. Ownership mentality—you don’t wait for specs; you define them. Thrive in high-performance, high-intensity teams. Ready to work hard, learn fast, and make a dent.
Why Join Us?
- Build AI products with real-world business impact.
- Own your work from ideation to scale.
- Work alongside other world-class builders.
- Accelerate your career as a serial AI product entrepreneur.
Ready to build the future of AI—one product at a time? Apply now or DM for a confidential conversation! All applications treated with strictest confidence. We value diversity and individuality.
AI Product Engineer in London employer: Cerebro
Contact Detail:
Cerebro Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI space, attend meetups, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and contributions. We want to see what you can do, so make sure to highlight your best work and share it with potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI product engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨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 take the initiative to reach out directly.
We think you need these skills to ace AI Product Engineer in London
Some tips for your application 🫡
Show Your Passion for AI: Let us see your enthusiasm for AI in your application! Share specific projects or experiences that highlight your journey in building AI products. We want to know what drives you and how you can contribute to our mission.
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Product Engineer role. Highlight your full-stack engineering skills and any relevant experience with modern AI/ML frameworks. We love seeing how your background aligns with our needs!
Demonstrate Your Problem-Solving Skills: We’re looking for builders who thrive in ambiguity. Use your application to showcase examples where you've tackled complex problems or iterated on solutions quickly. This will help us understand your execution velocity and mindset.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Cerebro
✨Know Your AI Stuff
Make sure you brush up on the latest AI and ML frameworks. Be ready to discuss your hands-on experience with tools like Python, FASTapi, and React. They’ll want to see that you can not only talk the talk but also walk the walk when it comes to building scalable AI products.
✨Showcase Your Product Mindset
Prepare to share examples of how you've translated technical complexity into business value. Think about specific projects where your work made a real impact on users. This is your chance to demonstrate that you understand what makes a product valuable and how to deliver it.
✨Embrace the Fast Pace
This role is all about execution velocity, so be ready to discuss how you've thrived in high-growth environments. Share stories that highlight your ability to ship products quickly without compromising quality. They’ll want to know you can handle the heat!
✨Ask Insightful Questions
Don’t just wait for them to ask if you have questions—come prepared with thoughtful ones! Inquire about their current AI projects, the team dynamics, or how they measure success. This shows your genuine interest and helps you gauge if this is the right fit for you.
