Software Engineer – Full Stack (Product & ML Integration)

Reposted 13 Hours Ago
Be an Early Applicant
2 Locations
In-Office
Junior
Artificial Intelligence • Information Technology • Software • Generative AI
The Role
The Full Stack Engineer will create and deploy interactive 3D web applications, manage the inference stack, and develop tools for evaluating AI models.
Summary Generated by Built In

SpAItial is pioneering the development of a frontier 3D foundation model, pushing the boundaries of AI, computer vision, and spatial computing. Our mission is to redefine how industries — from robotics and AR/VR to gaming and movies — generate and interact with 3D content.

We’re seeking a Full Stack Engineer to help build our first public-facing product, working across the stack to deliver seamless user experiences powered by our cutting-edge models. You’ll create interactive applications that showcase our 3D foundation model and build internal tools to support evaluation and experimentation. This role is ideal for an engineer who loves working at the intersection of beautiful user-facing products and technical AI integration.

Responsibilities

  • Build and deploy interactive 3D web applications powered by SpAItial’s foundation model.

  • Develop APIs and backend services to connect applications with model inference endpoints.

  • Collaborate with infrastructure engineers and researchers to integrate models into products.

  • Create internal dashboards and tools to monitor, evaluate, and showcase model outputs.

  • Ensure reliability, scalability, and performance across front-end and back-end systems.

Key Qualifications

  • 2+ years professional experience in full-stack application development.

  • Strong front-end development experience with modern frameworks (React, Next.js, or Vue).

  • Backend engineering experience with Node.js or Python frameworks (Django, FastAPI).

  • Proficiency in cloud environments (AWS, GCP, or Azure), containers, and orchestration.

  • Familiarity with deploying applications that consume ML model inference (Sagemaker, Hugging Face, Replicate, Fal, etc.).

  • Experience with databases (SQL and NoSQL) and API design/integration.

  • Experience with CI/CD pipelines and DevOps best practices.

Preferred Qualifications

  • Experience with WebGL, THREE.js, or other web 3D libraries.

  • Prior exposure to ML-driven applications or real-time inference systems.

  • Interest in interactive 3D/AR/VR experiences.

At SpAItial, we are committed to creating a diverse and inclusive workplace. We welcome applications from people of all backgrounds, experiences, and perspectives. We are an equal opportunity employer and ensure all candidates are treated fairly throughout the recruitment process.

Top Skills

Aws Sagemaker
Django
Fastapi
Hugging Face
Next.Js
Node.js
NoSQL
Python
React
SQL
Three.Js
Vue
Webgl
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The Company
HQ: London
14 Employees
Year Founded: 2024

What We Do

SpAItial is pioneering Spatial Foundation Models (SFMs), a groundbreaking AI paradigm designed to generate and reason about the appearance and physics of real and imagined environments. SFMs possess an intrinsic understanding of space-time, enabling transformative shifts in applications at the intersection of virtual and physical worlds.
Unlike existing generative AI technologies such as LLMs, image, or video models, SFMs operate natively in physical space. This significantly advances their cognitive capabilities, which mimics human understanding. SFMs promise to revolutionize various applications across industries, from creating immersive virtual worlds for gaming and entertainment, to advancing CAD engineering and construction, to powering next-generation VR/AR experiences, and enabling sophisticated, physically-intelligent robotics.

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