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: Opportunity for career acceleration and ownership of projects.
- 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 that values diversity and innovation.
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 employer: Cerebro
Contact Detail:
Cerebro Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI space, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, whether they’re personal or professional. This gives you a chance to demonstrate your technical excellence and execution velocity—key traits we’re looking for!
✨Tip Number 3
Prepare for interviews by understanding our mission and products. Be ready to discuss how your experience aligns with building scalable AI solutions. We love candidates who can translate technical complexity into business value!
✨Tip Number 4
Don’t just apply anywhere—apply through our website! It shows you’re genuinely interested in joining our elite team. Plus, it’s the best way to ensure your application gets the attention it deserves.
We think you need these skills to ace AI Product Engineer
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see that you’re not just skilled but genuinely excited about building impactful AI products. Share any personal projects or experiences that highlight your passion.
Tailor Your Experience: Make sure to customise your application to reflect the skills and experiences that align with our job description. Highlight your full-stack engineering expertise and any relevant AI/ML frameworks you've worked with. We love seeing how your background fits into our mission!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what really matters—your achievements and how they relate to the role. Remember, we’re builders, not consultants!
Apply Through Our Website: Don’t forget to apply directly through our website! It’s the best way for us to receive your application and ensures it gets the attention it deserves. Plus, it shows you’re serious about joining our high-velocity 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 complexities into business value. Think about times you've collaborated with customers or stakeholders to deliver impactful products. This is your chance to demonstrate your understanding of what makes a product valuable!
✨Embrace the Fast-Paced Environment
Get ready to discuss your experiences in high-growth startups or similar settings. They’re looking for someone who thrives under pressure and can ship quality work quickly. Have specific examples ready that showcase your ability to adapt and iterate rapidly.
✨Demonstrate Ownership and Curiosity
They want to see that you have a relentless curiosity about AI and technology. Be prepared to talk about projects where you took ownership from ideation to deployment. Show them that you don’t just wait for specs; you define them and drive the project forward!