Senior Full Stack Engineer

Drafted; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Drafted is seeking a full stack engineer to work across our entire software stack—from model pipelines and infrastructure to scalable user experiences. You will collaborate closely with engineering and research teams to advance generative architecture and floor plan technologies.

The ideal candidate has experience with 3D environments, CAD-based geometry, and deploying models in a product setting, contributing to open-source projects or products that monetize.

Qualifications

• Experience with 3D environments or 3.JS is a plus.
• CAD based computational geometry/parametric design is desirable.
• Experience with generative floor plans, furniture, interior/exterior design is beneficial.
• Have built products that monetize or open source projects used by many users is a plus.

Responsibilities

• Work across the full software stack from model pipelines to user experiences.
• Collaborate with engineering and research teams to ship features.
• Iterate on pipelines and infrastructure to support multi-project collaboration.
• Deploy and manage models as they complete training.

Skills

Vibe coding

React

Python

TypeScript

Rust

AWS

Model APIs

Fine-tuning ML

MCP servers

Tools

3D Environments (gaming, 3.JS)

Job description

About Drafted

Drafted is unlocking creativity in the physical world. We’re building foundational models and generative pipelines that create floor plans and renderings instantly, so anyone can imagine their dream home. Starting with single-family homes, we plan to verticalize across all dimensions of the pre-construction stack.

Generative architecture is a prime domain for applied research with abundant data, verifiable constraints, and a clear value proposition. Our team of second-time founders, engineers, and designers pairs exceptional product taste with deep technical rigor to turn real-world buildability constraints into an intuitive, magical experience.

Drafted's Values

We're a small team working fully in-person in San Francisco. We value high-ownership builders who want to be a part of a talented, highly motivated team. We're guided by the following values:

• Own the mission. We take agency, act like owners, and see problems through to real outcomes.
• Build in the open. We value direct feedback, fast learning, and growth through honest collaboration.
• Move with care and speed. We iterate quickly while staying deeply respectful of our teammates.
• Seek the why. We challenge assumptions, think from first principles, and never stop asking questions.
• Design for everyone. We believe anyone should be able to design and build a home they love.
• Solve what matters. We embrace hard problems and create new paths forward when none exist.

The Role

As a full stack engineer you’ll work across our entire software stack from model pipelines and infrastructure to scaling and optimizing user experiences. You’ll work closely with teammates across the engineering and research teams.

Example Projects

• Iterate on our current generation pipeline to make it more scalable and efficient.
• Iterate on our current SEO/site map data structure to increase organic discovery.
• Restructure our infrastructure to allow for multiple projects and collaboration based features.
• Incorporate 3D walkthrough based experiences per generation.
• Manage and deploy new models as they finish training.

Ideal Experience

• 3D Environments (gaming, 3.JS, etc)
• Computer Vision related work
• CAD based computational geometry/parametric design
• Generative floor plans, furniture, interior/exterior design
• Have built products that make money
• Have created open source projects that have been used by a lot of people

Desired Skillset

• Vibe coding (criticality on how it’s used, when, how much)
• Experience with React (Tanstack,SWR ,Tailwind, etc)
• Varieties of backends (servers in Python ,Typescript, Rust)
• Deployed to different infrastructures (AWS, Cloudflare, Railway, etc)
• Used model APIs in a product or project before
• Tried fine-tuning an ML model
• MCP servers