Senior Platform Engineer, Voice AI

<h3><strong>About the Role</strong></h3> <p>Together AI is building the best inference infrastructure for voice applications. Our Voice AI platform powers production-grade, real-time voice agents and applications — serving speech-to-text and text-to-speech models with best-in-class latency and reliability.</p> <p>We're looking for a Senior Platform Engineer to own the API and infrastructure layer for voice workloads. You'll build the real-time WebSocket and HTTP APIs that developers use to ship voice experiences, design autoscaling for latency-sensitive streaming workloads, and ensure our multi-provider voice platform is reliable enough for production voice agents handling millions of calls.</p> <p>This is a foundational hire on a small, high-impact team. Voice APIs have fundamentally different infrastructure requirements than text-based inference — bidirectional audio streaming, stateful connections, tight latency SLOs, and complex multi-model routing. You'll define how developers interact with Together's voice platform as we grow from early customers to the default infrastructure for voice AI.</p> <ul> <li>Own the real-time API layer (WebSocket + HTTP streaming) that powers Together's voice platform.</li> <li>Design autoscaling and orchestration for voice workloads running on tens of thousands of GPUs.</li> <li>Build the developer experience — APIs, observability, and tooling — for a fast-growing product area.</li> <li>Work with production voice customers (contact centers, AI agents, communication platforms) to ship what they actually need.</li> <li>Join a small, early-stage team with outsized impact on a new product line.</li> </ul> <h3><strong>Responsibilities</strong></h3> <ul> <li>Build and harden real-time WebSocket and HTTP streaming APIs for STT and TTS — including connection lifecycle management, backpressure, error handling, and reconnection, at the reliability bar needed for production voice agents.</li> <li>Design and ship autoscaling for voice model en