Voice AI Engineer - Build Agent Orchestration (Remote)

re-zoo-me; San Francisco, Northern (CA, KY); Hybrid; USD 180,000 - 200,000; Full time

Job summary

re-zoo-me is seeking a Voice Agent Engineer to connect GTM AI agents with real-world customer outcomes. Location is flexible—San Francisco in-office and remote across the U.S. and Canada.

You will design and iterate on fullstack systems for AI agents, explore orchestration and prompting strategies, and collaborate with product, design, and GTM teams to improve UX for non-technical users.

Qualifications

• 3+ years of experience in a product-oriented software engineering role.
• A CS/Engineering degree & professional experience; bonus if you’ve worked in a startup, consulting, or customer-facing technical role before
• Strong programming fundamentals in Typescript, React, NextJS, and NodeJS
• Familiarity with APIs, data flows, and debugging live systems
• Interest in AI/ML, conversational AI, or voice technologies
• Responsive and proactive in addressing customer needs with bias for action - comfortable shipping quickly and improving continuously in live deployments

Responsibilities

• Design, build, and iterate on fullstack systems that power AI agents from concept to deployment
• Research and evaluate new approaches to agent orchestration, prompting strategies, and model alignment
• Collaborate with product, design, and GTM teams to improve UX and usability for non-technical users
• Share learnings, document findings, and contribute to the evolution of internal best practices
• Participate in peer reviews, brainstorming sessions, and technical deep dives with our global team

Skills

3+ years dev experience

Customer-facing experience

Education

CS/Engineering degree

Tools

Typescript

React

NextJS

NodeJS

Job description

re-zoo-me is seeking a Voice Agent Engineer to connect GTM AI agents with real-world customer outcomes. Location is flexible—San Francisco in-office and remote across the U.S. and Canada.

You will design and iterate on fullstack systems for AI agents, explore orchestration and prompting strategies, and collaborate with product, design, and GTM teams to improve UX for non-technical users.