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About Zello

Zello is a voice-first communication platform, powered by our industry-leading push-to-talk technology, to improve collaboration and productivity for desk-less workers. With over 175+ million users, we’re the #1 rated push-to-talk app in the world, delivering 9 billion (yes, with a B) messages a month. 

At Zello, our company values are at the heart of what we do everyday. We’re proud to serve the frontline, we’re privileged to connect people in times of crisis across the globe, and we’re honored to support first responders.

And this is where you come in.

Zello is the push-to-talk platform that connects millions of frontline workers, and the AI & Data team builds the agent systems that run the business behind it. We have more high-value AI work than we have capacity to build, and we need someone who can both ship it and hold a real engineering standard around it. You would be the person who makes our agent work genuinely engineered - tested, reviewed, monitored - and who raises how everyone here builds.

After a successful first year, you will

• Shipped and operated production agent systems that people across Zello use every day
• Made evals-driven development the team's default, so every agent ships with an eval suite and monitoring
• Owned the code review bar for agent work and raised the standard it is held to
• Measurably levelled up teammates' engineering craft through review, pairing and coaching
• Cut the time it takes to move an agent from prototype to production

What you'll do

• Build LLM-backed systems end to end and put them in front of people who are not engineers
• Design eval suites and monitoring before shipping, not after something breaks
• Review agent pull requests and explain why a design will or will not hold up
• Operate what you ship: triage drift, chase down silent failures, fix root causes
• Set engineering conventions the team actually adopts - testing, structure, error handling
• Pair with and coach teammates who are strong analysts and newer to software craft
• Tell us when AI is the wrong tool for a problem, before we build it