AI Engineer

About Vibecode

We're democratizing software creation. Our platform lets anyone describe an idea and instantly turn it into a working application—no coding required.

We're solving one of computing's fundamental challenges : bridging the gap between human intent and software execution. This requires breakthrough advances in AI reasoning, code generation, and user experience.

We've raised a large seed round from of the best investors in the world including Alexis Ohanian (776), Arielle Zuckerberg and Cyan Banister (Long Journey), Ali Partovi and Suzanne Xie (Neo), and a whole host of amazing angels who are leaders at Google, Expo, OpenAI, etc.

About the Role

We're looking for an AI Engineer to build the world's most capable consumer-facing coding agent. You'll work across the entire AI stack—from model architecture to deployment—while maintaining focus on user experience.

What you'll do :

Design and implement agentic architectures for our SOTA coding AI agent

Build evaluation frameworks to measure code quality and user intent alignment

About You

3+ years building and deploying AI / ML systems in production

Strong background in building applied AI agents

Our agent is written in TypeScript so heavy TypeScript knowledge will be great

Passion for developer tools and making AI systems feel magical to use

Track record of shipping scalable AI products from concept to production

Why Vibecode

Impact : Build technology that changes how software is created, potentially affecting millions of creators.

Ownership : Join a small, high-caliber team where you'll shape our technical architecture and product direction.

Growth : Significant equity and the opportunity to scale with a well-funded, fast-growing company.

Details

Base Salary : $150,000 - $400,000 based on experience

Equity : Significant equity package

Location : In-person in San Francisco

Apply

Send your resume and a note about a technical project you're proud of to hiring@vibecodeapp.com along with filling out the form below.

We'll start with a technical conversation, followed by an onsite where you'll work on real problems with our team.