Senior Software Engineer – Applied AI

AMC Health

Senior Software Engineer building and operating AI voice agents in a regulated healthcare setting. Collaborating on LLM engineering and traditional machine learning systems within a production environment.

Posted 7/15/2026full-timeRemote • Montana • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in building and operating production backend systems, with a strong focus on LLMs and traditional machine learning workflows. Proficient in debugging real-time voice pipelines and managing distributed systems in a regulated environment.

Highest-signal resume keywords

Production Backend SystemsLLM ExperienceMachine Learning LifecycleDistributed SystemsReal-Time Media Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Code DebuggingControl System DesignML Pipeline DevelopmentBatch-Analysis PipelinesMetric Anomaly TracingVector SearchEmbeddingsAI Coding Assistants

Tools & Technologies

Cloud InfrastructureReal-Time Voice Pipeline

Industry Keywords

Generative AIRegulated EnvironmentTelephony

Tech Stack

Tools & technologies

CloudDistributed Systems

About the role

Key responsibilities & impact

Ship and debug code on a live, real-time voice pipeline
Design control systems around LLMs
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

Requirements

What you’ll need

7+ years building and operating production backend systems
Experience running distributed systems in the cloud
Hands-on production experience with LLMs or generative AI
Working fluency across the traditional machine learning lifecycle
Disciplined in a regulated environment
Real-time media or telephony experience
Front-end / full-stack ability
ML pipeline experience, vector search, or embeddings
Fluency with AI coding assistants

Benefits

Comp & perks

Fluency across the traditional machine learning lifecycle
Discipline in a regulated environment
Strong general-purpose programming skills