Backend Systems Engineer — Ambient AI for Healthcare

Athelas; Mountain View (CA); Sur place; USD 210 000 - 275 000; Plein temps

Résumé du poste

Commure is building the AI Operating System for healthcare, enabling ambient AI, dictation, and autonomous RCM to streamline care delivery and documentation. We are hiring a Staff Backend Engineer to design, build, and operate the backend foundation—across audio ingestion, inference orchestration, and cloud infrastructure—ensuring reliability, observability, and scalability for production workflows.

You will lead long-running, multi-stage workflows, implement robust failure handling, and

Qualifications

• 8+ years of backend or infrastructure engineering experience.
• Experience designing, building, and operating production distributed systems.
• Strong proficiency in at least one modern backend programming language.
• Experience operating services in a cloud environment, including deployment, monitoring, scaling, and incident response.
• Understanding of distributed-systems concepts such as idempotency, consistency, concurrency, backpressure, retries, failure isolation, and eventual completion.

Responsabilités

• Design, build, and operate backend systems powering Ambient AI products across mobile and web.
• Develop orchestration for long-running, multi-stage workflows including scheduling, queueing, retries, and dead-letter handling.
• Improve the reliability and scalability of services under compute-intensive workloads.
• Define and maintain service-level objectives for critical workflows, including availability and data durability.

Description du poste

Commure is building the AI Operating System for healthcare, enabling ambient AI, dictation, and autonomous RCM to streamline care delivery and documentation. We are hiring a Staff Backend Engineer to design, build, and operate the backend foundation—across audio ingestion, inference orchestration, and cloud infrastructure—ensuring reliability, observability, and scalability for production workflows.

You will lead long-running, multi-stage workflows, implement robust failure handling, and