Senior Backend Engineer, Real-Time AI Systems

Ellipsis Health

United States

Remote

USD 175,000 - 250,000

Full time

14 days+

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Benefits offered by this job

401k matching
Health insurance
Vision insurance
Dental insurance
Flexible paid time off

Job summary

Ellipsis Health is seeking a senior backend engineer to expand and maintain our real-time voice pipeline, integrating ASR/TTS plugins and optimizing latency to under 500 ms. You will collaborate with ML, product, data engineering, and platform teams across cloud environments (AWS/GCP/Azure) to deliver scalable, observable services.

Ideal candidates have 4+ years building production Python back-ends, hands-on with streaming systems (WebRTC/WebSockets), and experience in PostgreSQL and Redis.

Qualifications

  • 4+ years building production back-ends in Python.
  • Real-time streaming systems experience (WebRTC, WebSockets).
  • Concurrency, buffering, audio codecs knowledge (Opus, PCM).
  • Cloud platforms (AWS/GCP/Azure) and container orchestration.
  • Relational (PostgreSQL) and in-memory (Redis) data stores.

Responsibilities

  • Expand and maintain real-time voice pipeline: design, implement, and
  • Integrate new providers & transports: add plug-ins for ASR/TTS.
  • Deliver ultra-low latency (<500 ms RTT): profile async pipelines (asyncio).
  • Instrument & observe: emit traces (OpenTelemetry).
  • Harden for production with retries and idempotent messaging.
  • Collaborate with ML, product, data engineering, and other teams.

Skills

Python
Real-time streaming
Concurrency
Cloud platforms
PostgreSQL
Redis
Communication
OpenTelemetry

Education

B.S./M.S. in CS/EE

Tools

OpenTelemetry
Twilio
Telnyx
SIP

Job description

Ellipsis Health is seeking a senior backend engineer to expand and maintain our real-time voice pipeline, integrating ASR/TTS plugins and optimizing latency to under 500 ms. You will collaborate with ML, product, data engineering, and platform teams across cloud environments (AWS/GCP/Azure) to deliver scalable, observable services.

Ideal candidates have 4+ years building production Python back-ends, hands-on with streaming systems (WebRTC/WebSockets), and experience in PostgreSQL and Redis.

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