A
Athelas
Senior Software Engineer (Voice Agents)
Skills
PythonAI
15 days ago
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Important information
Contract type:
Permanent
Salary:
$170,000 – $230,000 / year
Location:
United States
Work mode:
Onsite
Published on:
10 October 2026
What they need
- 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
- Design and build backend services in Python that power real-time voice agents: call orchestration, conversation state, tool execution, and EHR write-back
- Architect low-latency pipelines connecting telephony, ASR, LLMs, and TTS into a single conversational loop
- Lead integrations with healthcare systems (like Epic, Cerner, athena, and others) for scheduling, eligibility, and intake
- Drive design decisions on APIs, data models, and event-driven workflows, and mentor other engineers on the team
- Partner with AI, product, and operations to ship features patient access teams actually use
- Set the bar for what ships: latency, reliability, observability, and release readiness- 4+ years of backend software experience, primarily in Python
- A track record of designing and shipping production services, APIs, and data models that others build on
- Deep experience with async, event-driven, or real-time systems
- Strong fundamentals in testing, LLM evaluation, observability, and reliability
- Bias for action, an ownership mindset, and the judgment to know when to move fast and when to slow down
- An intuition for how people interact with automated assistants through voice and text, where the rules are different than icons and buttons
- A patient-centered mindset. You design for the person on the other end of the line, not just the metrics
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