AI Community Engineer

CircleCI•San Francisco, CA

13d•$153,000 - $191,000

About The Position

We’re looking for someone who can’t stop building with AI—and can’t stop showing people what they’ve built. You’re probably the kind of engineer who spends your evenings wiring agents together just to see what breaks. Your GitHub is full of experiments that are half-finished by traditional standards, but fully alive in your head. You’ve already built something with multi-agent systems, orchestration flows, or LLM pipelines passing work between each other—and the first thing you did wasn’t polish it, it was demo it. You don’t wait for things to be “ready.” You ship the weird version, the messy version, the “this might break” version, because that’s where the learning is. And then you talk about it. A lot. You sit close to our AI engineering team, where real features are being built and shipped. This is your technical home base—you’re not just observing what we’re building, you’re inside it, using it early, breaking it early, and helping shape how it evolves. You’ll also work closely with Marketing, but only to amplify what’s already real, not to manufacture it.

Requirements

You’re earlier in your career but already deep in AI-native building
You’ve shipped experiments with agents, orchestration, or LLM-driven systems—even if they were scrappy
You have strong opinions about how AI systems should be structured, and you’re not shy about sharing them
You write and demo because it’s how you think, not because it’s assigned
You move fast and independently, deciding what’s worth sharing and when
You’re trusted to represent CircleCI in public spaces with good judgment
You don’t wait for permission—you find interesting things and make them visible

Nice To Haves

A GitHub full of AI experiments that you actively share or demo
Experience posting technical content while you’re still building it
A presence in AI or builder communities where people recognize your work or ideas

Responsibilities

Write about what you actually built—what worked, what broke, and what surprised you
Show up in AI-native engineering communities where people are actively figuring things out in real time
Jump into conversations early, before consensus exists, and share what you’re learning as you go
Work with Marketing to amplify your work, without slowing down how fast you share it
Go to meetups and conferences with live demos that are still evolving
Spend time in SF and global engineering communities where AI-native builders are actively experimenting
Show up regularly—not just to speak, but to demo, learn, and exchange ideas
Help CircleCI stay present in the conversations that are defining how AI systems are actually being built
Use CircleCI’s AI features before anyone else does
Build alongside our AI team so your content is grounded in real systems, not theory
Push on new capabilities by trying to break them early and often
Stay close to the edge of what’s possible so you can talk about it credibly