Senior Applied AI Engineer - Real-Time Voice & LLM Systems

amchealth; Olympia (WA); On-site; USD 140,000 - 210,000; Full time

Job summary

AMC Health is seeking a Senior Software Engineer for Applied AI to craft real-time voice agents in a regulated healthcare setting. You will work across real-time voice AI, LLM engineering, and traditional ML pipelines within production-grade cloud infrastructure.

You will design deterministic controls for nondeterministic models, manage cost and latency budgets, and ensure secure, auditable data handling in a healthcare-compliant environment.

Qualifications

• 7+ years building and operating production backend systems.
• Strong experience with Python as primary language.
• Experience running distributed systems in the cloud (AWS).
• Hands-on production experience with LLMs or generative AI and judgment to know when not to use a model.

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.

Skills

Python

Distributed systems

ML lifecycle

Telemetry debugging

Tools

AWS

LLMs / Generative AI

Observability tooling

Job description

AMC Health is seeking a Senior Software Engineer for Applied AI to craft real-time voice agents in a regulated healthcare setting. You will work across real-time voice AI, LLM engineering, and traditional ML pipelines within production-grade cloud infrastructure.

You will design deterministic controls for nondeterministic models, manage cost and latency budgets, and ensure secure, auditable data handling in a healthcare-compliant environment.