Senior Fullstack Engineer, Solve

Zendesk•Madison, WI

3d•Hybrid

About The Position

We're building a real-time voice AI product for live, natural conversations. This is a chance to work on a product where engineering quality is felt immediately by users. Every improvement to latency, reliability, and conversation flow makes the experience faster, smoother, and more human. We're looking for a Senior Full Stack Engineer who can own product features end to end, while bringing strong backend engineering fundamentals. This is a full stack role, but the center of gravity is backend: real-time systems, integrations, performance, and reliability.

Requirements

Have 3+ years of experience building production software
Are a strong backend engineer first, with solid fundamentals in APIs, async systems, integrations, and system design
Have experience building and owning product features end to end
Have worked with real-time or event-driven systems such as WebSockets, WebRTC, streaming, or low-latency APIs
Care about product quality and enjoy solving user-facing problems
Are excited about voice AI, conversational products, or real-time systems

Nice To Haves

Experience with React and TypeScript
Experience building frontend product experiences
Experience with Python and async backend architectures
Experience with telephony, WebRTC, SIP, or audio/video systems
Experience with LLMs, speech systems, or conversational AI
Experience debugging performance or reliability issues in production

Responsibilities

Build and improve the backend systems that power real-time voice conversations
Develop integrations for telephony, real-time audio, and external AI services
Ship product features across our voice platform, including user-facing web experiences where needed
Improve platform reliability, observability, and performance
Work on real-time interaction challenges like interruptions, responsiveness, turn-taking, and conversation flow
Collaborate closely with product and design to build voice experiences that feel polished and intuitive