Senior Real-Time Voice AI Engineer (Remote)

Zendesk; San Francisco (CA); Hybrid; USD 145,000 - 217,000; Full time

Benefits offered by this job

Hybrid work model

Remote work option

Job summary

Zendesk is seeking a Senior Full Stack Engineer to build the real-time voice AI product that makes live conversations feel natural and reliable.

Join a team delivering latency-optimized backend services, WebRTC integrations, and UX-focused web experiences, with a hybrid work model. This role offers opportunities across backend and frontend work and collaboration with ML teams to impact global customer experiences.

Qualifications

• 3+ years building production software with significant backend engineering experience.
• Experience with real-time or event-driven systems (WebRTC, SIP, streaming APIs).
• Proficiency in Python or equivalent backend languages and async architectures.

Responsibilities

• Design and implement backend services powering real-time voice conversations, focusing on latency, reliability, and observability.
• Build integrations for telephony, WebRTC, real-time audio processing, and external AI/speech services.
• Ship end-to-end product features across backend systems and user-facing web experiences when required.
• Improve platform reliability and performance: monitoring, tracing, autoscaling, and failure recovery.
• Address real-time interaction challenges such as turn-taking, interruptions, responsiveness, and graceful handoff to humans.
• Partner with product and design to deliver voice experiences that feel polished and human.

Skills

Backend fundamentals

Async systems

Real-time systems

Latency optimization

Cross-functional collaboration

Tools

WebRTC

WebSockets

SIP

Job description

Zendesk is seeking a Senior Full Stack Engineer to build the real-time voice AI product that makes live conversations feel natural and reliable.

Join a team delivering latency-optimized backend services, WebRTC integrations, and UX-focused web experiences, with a hybrid work model. This role offers opportunities across backend and frontend work and collaboration with ML teams to impact global customer experiences.