What the role involves
Draftaid started by auto-generating manufacturing drawings from 3D CAD parts. We are now building the intelligence layer for mechanical engineering.
What you'll do
Build product features end-to-end: Node backend, React/TypeScript frontend, Postgres
Create interactive interfaces for viewing and annotating 3D and 2D CAD data
Integrate with our geometry engine and ML pipelines
Own problems, not tickets
What we're looking for
7+ years building web applications
Extensive experience with TypeScript, React, and Postgres
Curious about 3D/CAD domain (no prior experience required)
Product intuition
Comfortable with ambiguity and moving fast
Thrives in early-stage environments
Nice to have
C# experience
CAD domain exposure
Python/ML familiarity
What we offer
Flexible hours and hybrid in-office
Competitive salary and equity package.
Small team, high ownership
What they ask for
About Draftaid
DraftAid is the world's first generative AI for CAD manufacturing drawings, akin to GitHub Copilot but for CAD. It drastically shortens drawing creation time, turning hours into seconds. Every product that is manufactured - from construction to aerospace, automotive, durable goods, and electronics—relies on drawings. Currently, engineers and designers painstakingly make these essential drawings manually. Draftaid streamlines this process saving teams millions in time and quality. The idea was born out of Abdullah's experience as a mechanical design team member, where he created thousands of drawings and longed for a more efficient process. Partnering with Tahsin, a neighbour with a PhD in AI, and Mohammed, a seasoned engineering VP with experience in construction software, they turned the dream into reality. Since their launch in August, DraftAid has engaged customers through targeted outreach and word-of-mouth, securing paid pilots with subsequent contracts valued at $150,000. Be a part of ushering in the new era of CAD designs!
Full Draftaid profile