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 [email protected] 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.