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Senior Software Engineer – Applied AI
AMC HealthSenior Software Engineer developing AI voice agents at AMC Health. Involves real-time systems, LLM engineering, and traditional machine learning in a regulated healthcare setting.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and operating production backend systems, with a strong focus on Python programming and hands-on experience with LLMs and generative AI. Proficient in managing traditional machine learning workflows and debugging production issues in a regulated environment.
Highest-signal resume keywords
Production Backend SystemsPython ProgrammingLLM ExperienceDistributed SystemsMachine Learning Lifecycle
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonProduction Backend SystemsLLM DevelopmentMachine Learning WorkflowsDebuggingTelemetry AnalysisReal-Time SystemsControl Systems DesignBatch-Analysis PipelinesMetric Anomaly Tracing
Tools & Technologies
Cloud PlatformsTelemetry ToolsDebugging ToolsProduction Inference Systems
Industry Keywords
Generative AIRegulated EnvironmentControl SystemsData ManagementProduction Systems
Tech Stack
Tools & technologiesCloudDistributed SystemsPython
About the role
Key responsibilities & impact- Ship and debug code on a live, real-time voice pipeline
- Design control systems around LLMs: guardrails, budgets, watchdogs
- 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
- Strong general-purpose programming skills (primarily in Python)
- Experience running distributed systems in the cloud; comfortable debugging from telemetry to root cause
- Hands-on production experience with LLMs or generative AI (any provider or framework)
- Working fluency across the traditional machine learning lifecycle
- Disciplined in a regulated environment
Benefits
Comp & perks- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Professional development opportunities