AI at Zapier

At Zapier, we build and use automation every day to make work more efficient, creative, and human. So if you’re using AI tools while applying here - that’s great! We just ask that you use them responsibly and transparently.

Check out our guidance on How to Collaborate with AI During Zapier’s Hiring Process, including how to use AI tools like ChatGPT, Claude, Gemini, or others during our hiring process - and when not to.

About Zapier

We're humans who simply think computers should do more work.

At Zapier, we’re building a platform to help millions of businesses scale with automation and AI. Our mission is simple: make automation work for everyone. As a member of the team, you’ll collaborate with intelligent, curious people, build and apply cutting-edge tools, and leverage the flexibility of remote work. Your work will directly fuel our customers’ success, and as they grow, so will you.

Our Commitment to Applicants
Culture and Values at Zapier
Zapier Guide to Remote Work
Zapier Code of Conduct
Diversity and Inclusivity at Zapier

Staff Applied AI Engineer, AI Capabilities

About The Role

Zapier is hiring a Staff Applied AI Engineer for our AI Capabilities team, the group responsible for building the shared AI execution platform that powers every AI product at Zapier, including Agents, Chatbots, AI by Zapier, and future orchestration experiences.

This is one of the most foundational engineering roles at Zapier today.

AI Capabilities is unifying the runtimes, tooling, data models, and orchestration layers behind our AI products into a single, reliable, high-quality platform with great ergonomics. We’re building what Zapier’s AI foundation should have been from day one—and we’re delivering it in a way that accelerates all other AI teams.

As the Staff Applied AI Engineer on this team, you’ll bring deep technical expertise in LLMs, orchestration, evaluation, runtime systems, and platform engineering. You’ll help shape our unified architecture, guide tough tradeoffs, elevate our engineering standards, and ensure the platform is scalable, safe, cost-efficient, and easy to build on.