Build, test, and deploy advanced voice AI agents in minutes with Vapi. The platform for developers creating conversational voice AI. Backed by Bessemer, Peak XV and Y Combinator.
About the role
30 Days: Make real calls and build real assistants across LLM, speech-to-text, text-to-speech, and telephony integrations. Develop a working mental model of how Vapi’s product surfaces map to APIs, services, data systems, and production workflows, then ship your first scoped backend product improvement.
What they're looking for
- A track record operating at senior or staff scope: independently owning customer-facing backend product areas from an ambiguous problem through measurable production outcomes
- Strong hands-on experience with TypeScript/Node.js, Go, or a comparable backend stack, plus the ability to design clear APIs, services, and data models
- Experience building distributed or asynchronous systems with databases, queues, workflows, or event-driven patterns—and reasoning clearly about failure modes
- Strong product judgment: you start with the user problem, turn incomplete requirements into a clear technical approach, and make tradeoffs based on customer impact
- Production ownership: you care about testing, observability, reliability, incident response, safe rollouts, and what happens after launch
- Regular, thoughtful use of AI-assisted development tools to improve speed and quality, paired with strong engineering judgment about the result
More about this role
Voice AI that resolves, not transfers
Powering 1 billion calls for companies like Amazon Ring, Intuit, ServiceTitan, and New York Life
Trusted by 1 million developers building the future of voice agents
Backed by Peak XV, Bessemer, Kleiner Perkins, M12, Y Combinator, and more with $72M raised
Try talking to Vapi now!
More than 1 million developers have built 2.7M+ agents on Vapi. Every assistant depends on a growing product surface—from Composer, Simulations, Monitoring, and Knowledge Base to Versioning and Deployments.
Behind those experiences are hard backend product problems: durable APIs and data models, real-time and asynchronous workflows, observability, evaluations, guardrails, and reliable operation of non-deterministic systems.
We’re hiring a backend product engineer to own those systems end to end and help customers move voice agents from a compelling demo to dependable production—at Fortune 500 scale. The work is genuinely hard and unusually fun.
30 Days: Make real calls and build real assistants across LLM, speech-to-text, text-to-speech, and telephony integrations. Develop a working mental model of how Vapi’s product surfaces map to APIs, services, data systems, and...
Browse similar: AI jobs · AI startup jobs · Startup jobs · Remote jobs · San Francisco Bay Area