Agent Engineer - NY

Vapi is the developer platform for building voice AI agents that can make and receive phone calls, handling complex infrastructure so developers can focus on creating great voice experiences.

Vapi

United States only

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We're hiring a Agent Engineer to design and deploy scalable AI agent architectures for complex enterprise customers. The role sits at the intersection of engineering, product, and customer success.

Requirements

5+ years in solutions architecture, pre-sales engineering, technical consulting, or similar customer-facing technical roles
Proficiency in agent design and AI-assisted development
Experience owning end-to-end customer engagements and delivering complex technical solutions with measurable outcomes
Strong ability to translate business requirements into technically sound solutions and communicate effectively with both engineers and executives

Benefits

Real stake
Comprehensive health coverage
Team love
Flexible time off
More

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About the job

Apply before

Jun 17, 2026

Posted on

Apr 18, 2026

Hiring timezones

United States +/- 0 hours

Job categories

Prod: Agent Engineering Agent Engineer

Skills

AI Solutions Architecture Pre Sales Engineering Technical Consulting

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About Vapi

Learn more about Vapi and their company culture.

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Vapi is the developer platform for building voice AI agents. Teams from trail-blazing startups to Fortune 500 companies deploy voice agents on Vapi - the most configurable API for building leading voice AI products and scaling phone operations. The platform has grown to over 600,000 developers, adding 2,000+ every day, and powers hundreds of thousands of daily calls.

Vapi handles the complex infrastructure so developers can focus on creating great voice experiences. The platform combines speech-to-text, large language models, and text-to-speech into a unified system with sub-600ms response times. Vapi raised $20M in Series A funding led by Bessemer Venture Partners and is backed by Y Combinator, enabling enterprises to deploy human-level voice experiences in minutes rather than months.