Senior Software Engineer (SF)

How do you turn a decades-old dataset into an industry-leading medical coding agent? Teach an AI receptionist to book appointments in Spanish? Automatically generate working data connectors from API docs? Build agents that write, test, and deploy their own software packages?

Fractional AI is a startup in the heart of Silicon Valley targeting the biggest greenfield opportunity in the economy: transforming companies with AI software at a scale the market is only beginning to understand. Our clients include Zapier, Airbyte, and companies from industries ranging from data infrastructure to healthcare and life sciences.

We were founded by repeat founders Chris Taylor, Eddie Siegel, and Travis May (Founder of Datavant, $7B exit), and are backed by Shaper Capital. Most of our engineers are former founders or staff engineers from top tech companies like Google and Stripe.

We're headquartered in SF with offices in NYC, Raleigh-Durham, and Dubai.

This role is designed for strong software engineers who want to ship AI products end-to-end across a range of domains, with meaningful ownership from day one.

You'll work on a small, high-caliber team (2–5 engineers and a PM) building AI products for our clients, from requirements gathering and prototyping through system design, development, testing, and deployment. You’ll own features end-to-end, and develop domain expertise across a range of AI use cases.

You'll spend most of your time in code, with meaningful client exposure – frequently interacting with the client’s team to make sure what we're building meets their needs.

Most engineers take a decade to see this range of hard problems across this many domains. Here, you'll do it in your first year. To make this possible, we are religious about being the best company in the world to learn Applied AI engineering practices.

Work Arrangement: 4 days in-person, Fridays remote