About this role
The candidate will be responsible for building and shipping product features from backend through to frontend, including developing scalable services and APIs that handle real-time data. The role involves integrating AI and computer vision capabilities into customer-facing products and making architectural decisions as the platform scales. The engineer will work within a small, highly technical engineering team, collaborating closely with AI, infrastructure, and product teams. The technical environment includes Go, Python, C++, React, TypeScript, AWS, and Kubernetes.
Skills & technologies
Must have
- Go
- Python
- C++
- React
- TypeScript
- AWS
- Kubernetes
- AI
- Computer Vision
Nice to have
- Startup/scale-up experience
Read full description
🚀 Full Stack Engineer – AI
📍 London (Onsite)
💰 £90K–£130K + Equity
We’re partnered with a fast-growing AI company building intelligent systems combining computer vision, multimodal AI and real-time data.
They’re looking for a strong Full Stack Engineer to own and ship core product features end-to-end, working across backend systems, frontend applications and AI-powered functionality.
What You’ll Be Doing 👇
- Build and ship product features from backend through to frontend
- Develop scalable services and APIs handling real-time data
- Build modern applications using React & TypeScript
- Integrate AI and computer vision capabilities into customer-facing products
- Make architectural and system design decisions as the platform scales
- Work closely with AI, infrastructure and product teams
What They’re Looking For 🧠
- Strong software engineering background in Go, Python or C++
- Solid React & TypeScript experience
- Strong understanding of system design and distributed systems
- Experience building and owning production systems end-to-end
- Startup/scale-up experience highly desirable
- Comfortable operating with high autonomy and moving quickly
Tech ⚙️
Go / Python / C++ • React • TypeScript • AWS • Kubernetes • AI / Computer Vision
Why It’s Interesting 💡
- Build AI products deployed in real-world environments
- Genuine ownership across product and architecture
- Small, highly technical engineering team
- Strong commercial traction and significant backing
- Meaningful equity and plenty of scope to influence how the platform evolves
If you’re a strong product-minded engineer who enjoys working across the stack and shipping complex systems into production, this is worth a conversation.
