Senior Software Engineer, Applied AI — Voice Systems

amchealth

Indianapolis (IN)

On-site

USD 140,000 - 170,000

Full time

14 days+
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Job summary

AMC Health is seeking a Senior Software Engineer: Applied AI to build production AI voice agents and ML systems in a regulated healthcare setting. This role spans real-time voice, LLM engineering, traditional ML, and cloud infrastructure, all in production with strict data handling and governance.

You will ship and debug a live, latency-sensitive voice pipeline, design guardrails around LLMs, and operate end-to-end ML workflows from data to inference. Remote (US) full-time role.

Qualifications

  • 7+ years building and operating production backend systems with Python.
  • Experience running distributed systems in the cloud and debugging telemetry to root cause.
  • Hands-on production experience with LLMs or generative AI in production settings.
  • Experience across the traditional ML lifecycle from data to scheduled inference.
  • Disciplined in regulated environments with careful data handling.

Responsibilities

  • Ship and debug code on a live, real-time voice pipeline where latency and correctness are user-facing.
  • Design control systems around LLMs: guardrails, budgets, watchdogs, safe fallbacks.
  • Build and operate LLM evaluation and batch-analysis pipelines.
  • Own traditional ML workflows from data to scheduled production inference.
  • Trace production issues from a metric anomaly to root cause with evidence gathering.

Skills

Python
Distributed systems
LLMs / Generative AI
ML lifecycle
Regulated data handling

Job description

AMC Health is seeking a Senior Software Engineer: Applied AI to build production AI voice agents and ML systems in a regulated healthcare setting. This role spans real-time voice, LLM engineering, traditional ML, and cloud infrastructure, all in production with strict data handling and governance.

You will ship and debug a live, latency-sensitive voice pipeline, design guardrails around LLMs, and operate end-to-end ML workflows from data to inference. Remote (US) full-time role.

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