Senior Applied AI Engineer — Real-Time Voice & ML Systems

amchealth; Atlanta (GA); On-site; USD 140,000 - 210,000; Full time

Job summary

AMC Health in a remote US role is seeking a Senior Software Engineer for Applied AI (Voice Agents & ML Systems). You will work across real-time voice AI, LLM engineering, and traditional ML within a regulated healthcare setting, building production-grade systems.

You will own end-to-end ML pipelines, design control systems for LLMs, and contribute to cloud infrastructure with a focus on low latency, security, and observability. This role demands deep backend experience and strong Python skills.

Qualifications

• 7+ years building and operating production backend systems.
• Experience running distributed systems in the cloud.
• Hands-on production experience with LLMs or generative AI.
• Disciplined in a regulated environment: careful handling of sensitive data.

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, including vendor-related causes.

Skills

Python

Distributed systems

LLMs / Generative AI

Cloud infrastructure

Telemetry / Observability

Tools

AWS

Job description

AMC Health in a remote US role is seeking a Senior Software Engineer for Applied AI (Voice Agents & ML Systems). You will work across real-time voice AI, LLM engineering, and traditional ML within a regulated healthcare setting, building production-grade systems.

You will own end-to-end ML pipelines, design control systems for LLMs, and contribute to cloud infrastructure with a focus on low latency, security, and observability. This role demands deep backend experience and strong Python skills.