Staff Backend Engineer, Ambient AI

We’re building a next-generation ambient AI product suite for healthcare, helping clinicians focus on patient care by automatically capturing, understanding, and structuring clinical conversations.

Behind that experience is a distributed system responsible for ingesting long-form audio, processing real-time and asynchronous streams, orchestrating multiple AI models, and reliably producing clinical outputs. These workflows must remain observable and recoverable across network interruptions, partial failures, model timeouts, and rapidly changing inference infrastructure.

We’re hiring a Staff Backend Engineer to help build and operate this foundation. You’ll work across audio ingestion, media processing, inference orchestration, distributed workflows, storage, observability, and cloud infrastructure.

This role is ideal for an engineer who enjoys making complex systems dependable. You think carefully about failure modes, idempotency, backpressure, data integrity, latency, and operational simplicity. You also understand that infrastructure exists to serve the product: the systems you build must ultimately create a fast, reliable, and trustworthy experience for clinicians.

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