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

amchealth; Columbia (SC); On-site; USD 140,000 - 210,000; Full time

Job summary

AMC Health is seeking a Senior Software Engineer for Applied AI (Voice Agents & ML Systems) to join a remote US team. You will work across real-time voice AI, LLM engineering, and traditional ML, delivering production-grade pipelines and instrumentation for healthcare-grade reliability.

Ideal candidates have 7+ years in backend systems, strong Python, cloud experience, and hands-on work with LLMs. The role emphasizes safe, auditable changes in a regulated environment and remote collaboration.

Qualifications

• 7+ years building and operating production backend systems using Python.
• Experience running distributed systems in the cloud with telemetry to root cause.
• Hands-on production experience with LLMs or generative AI and sound judgment on when to use models.
• Disciplined in regulated environments with careful handling of sensitive data.

Responsibilities

• Ship and debug code in a live, real-time voice pipeline with latency and correctness for users.
• Design control systems around LLMs including guardrails, budgets, watchdogs and 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 metrics to root cause, including vendor-related causes.

Skills

Python

Distributed systems

Backend development

Cloud computing

LLM / AI

Tools

AWS

Terraform

Docker

Job description

AMC Health is seeking a Senior Software Engineer for Applied AI (Voice Agents & ML Systems) to join a remote US team. You will work across real-time voice AI, LLM engineering, and traditional ML, delivering production-grade pipelines and instrumentation for healthcare-grade reliability.

Ideal candidates have 7+ years in backend systems, strong Python, cloud experience, and hands-on work with LLMs. The role emphasizes safe, auditable changes in a regulated environment and remote collaboration.