Senior Full Stack Engineer

Full Stack Software Engineer (Python, React, AI, 3D)

Hybrid London (1-2 days per week)

Up to £120,000 + Equity + Benefits

Are you excited by the idea of building the future of 3D and spatial intelligence? We're working with an innovative AI company developing a frontier 3D foundation model that's redefining how industries - from robotics and AR/VR to gaming and film - generate and interact with 3D content.

They're now looking for a Full Stack Software Engineer to help build their first public-facing product, creating interactive applications powered by cutting-edge AI models. This is a rare opportunity to work at the intersection of AI, computer vision, and 3D computing, in a world-class technical team.

Why this role?

• Shape the next generation of AI-driven 3D applications and spatial experiences.

• Work closely with researchers and engineers pushing the limits of spatial AI.

• Build the company's first large-scale public product - with full ownership across the stack.

• Hybrid flexibility: 1-2 days per week in the London office, balance the rest remotely.

• Salary up to £120,000, depending on experience.

What you'll be doing:

• Designing, building, and deploying interactive 3D web applications powered by Spatial AI models.

• Managing and optimising the inference stack for running complex AI models (in-house or via cloud providers).

• Developing internal tools to monitor, evaluate, and improve ML model performance.

• Working across the full stack - from front-end experiences to backend APIs and cloud deployment.

• Implementing best practices for performance, scalability, and security.

What we're looking for:

• 2+ years' experience in full-stack application development and deployment.

• Strong skills in both frontend frameworks (React, Next.js, or Vue) and backend technologies (Node.js, Python, Django, or FastAPI).

• Experience deploying applications in cloud environments using containers and orchestration tools.

• Proficiency in the Python ecosystem for backend development and AI integration.

• Strong database knowledge (SQL and NoSQL) and API design/integration.

• Familiarity with CI/CD pipelines and modern DevOps workflows.

• Understanding of authentication, authorization, and web security best practices.

Nice-to-haves:

• Experience deploying ML models using AWS Sagemaker, Hugging Face, or Replicate.

• Familiarity with WebGL, THREE.js, or other 3D graphics frameworks.

• Interest in AI, generative models, and spatial computing.