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Software Engineer

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Onsite

Software Engineer

Athelas

Software Engineer

Skills

PythonAI

1 month ago

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Important information


Salary:

$130,000 – $180,000 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

30 September 2026

What they need


Who you are

  • 2–4 years of backend software experience, primarily in Python
  • Experience shipping production services, APIs, and data models
  • An intuition for how people interact with automated assistants through voice and text, where the rules are different than icons and buttons
  • Comfort with async, event-driven, or real-time systems (or excitement to grow into them)
  • Strong fundamentals in testing, LLM evaluation, observability, and reliability
  • A patient centered mindset. You design for the person on the other end of the line, not just the metrics
  • Bias for action and an ownership mindset

What the job involves

  • Health system call centers can't keep up with patient demand
  • 85% of patients who can't get through never call back
  • They go elsewhere, and appointments that should have been booked never are
  • We're building AI Voice Agents that pick up every call and handle the full conversation: scheduling, rescheduling, cancellations, confirmations, FAQs, and intake
  • They work by integrating directly with the EHR and telephony stack in real time
  • We're hiring a Software Engineer to build the systems these agents run on: the voice pipelines, EHR integrations, and services that take a call from "hello" to a booked appointment
  • It's a mid-level role on a small team that ships every day, with a lot of room to grow into harder problems
  • Build backend services in Python that power real-time voice agents: call orchestration, conversation state, tool execution, and EHR write-back
  • Contribute to low-latency pipelines connecting telephony, ASR, LLMs, and TTS into a single conversational loop
  • Integrate with healthcare systems (like Epic, Cerner, athena, and others) for scheduling, eligibility, and intake
  • Collaborate with senior engineers to design APIs, data models, and event-driven workflows
  • Partner with AI, product, and operations to ship features patient access teams actually use
  • Own the quality of what you ship: latency, reliability, observability, and release readiness

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