Senior Applied AI Engineer

Roger Healthcare · San Francisco Office

Posted
44 days ago
Last confirmed live
1 day ago

What this role involves

Roger seeks a Senior Applied AI Engineer to build its intelligence layer: train and fine-tune models on proprietary data, build evaluation and monitoring infrastructure, and ship reliable LLM-powered workflows for home health clinicians. The role requires 7+ years of software engineering with deep AI/ML experience and a focus on agentic systems.

Skills this posting asks for

  • llm training
  • fine-tuning
  • open source models
  • eval datasets
  • eval pipelines
  • metrics
  • feedback loops
  • inference infrastructure
  • monitoring
  • observability
  • agentic systems
  • tool use
  • generator and critic loops
  • planners and executors
  • orchestration
  • prototyping
  • production systems
  • startup experience
  • product mindset
  • reliability
  • accuracy

Requirements

  • 7 years of experience
  • Level: senior

From the employer’s posting

ABOUT THE ROLE Roger is an AI platform that frees home health clinicians from paperwork so they can focus on what matters: delivering life-changing care to our most vulnerable elderly patients in the comfort of their homes. Backed by leading healthcare investors like SignalFire, we've powered mill…

Read the full description on Roger Healthcare’s careers page

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