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R1 RCM

Technology-driven revenue cycle management for providers

Applied AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 4 years of experience in software engineering, machine learning engineering, applied AI, research engineering, or a related field.
  • Strong proficiency in Python and experience building production applications using APIs, structured data, testing, logging, and observability tools.
  • Experience with LLM applications, AI agents, retrieval-augmented generation, prompt engineering, tool calling, structured outputs, or machine learning systems.
  • Experience designing evaluation frameworks, benchmarks, experimentation workflows, and performance monitoring for AI systems.
  • Ability to work in ambiguous, high-impact environments and translate complex real-world problems into scalable AI solutions.

Responsibilities

  • Design, build, and iterate on agentic AI systems for complex healthcare workflows, including documentation, coding, denial management, appeals, and revenue cycle automation.
  • Develop long-horizon agent behavior across context construction, retrieval, tool use, memory, routing, verification, escalation, and human-in-the-loop review.
  • Define end-to-end success criteria for clinical agents by translating expert workflows into specifications, rubrics, gold standards, test cases, and clinically meaningful measures.
  • Build rigorous evaluation and feedback loops using expert review, production logs, model outputs, and benchmarks to measure performance, regressions, edge cases, safety, reliability, provenance quality, and business impact.
  • Prototype new AI capabilities and harden them into reliable, explainable, auditable production systems with clear contracts, monitoring, evidence, rationale, and performance gates.
  • Partner with research and machine learning engineering teams on model selection, fine-tuning, reward modeling, distillation, synthetic data, post-training, and internal AI infrastructure, including instrumentation, experiment tracking, benchmarking, prompt/version management, and reproducible evaluation.

About the Company

R1 RCM

Technology-driven revenue cycle management for providers

R1 RCM provides revenue cycle management solutions for healthcare providers, helping hospitals, health systems, and physician groups manage patient service revenue. Its products cover front-end, middle, and back-end processes—from registration and scheduling to coding, billing, collections, and denials management—using automation to streamline workflows. The company differentiates itself by offering end-to-end RCM services under long-term contracts with performance-based incentives, acting as a single vendor for multiple revenue-cycle needs and leveraging data-driven insights. Its goal is to cut administrative waste, improve financial performance, and enhance the patient experience so providers can focus more on patient care.

Company size
10,001+
Company stage
IPO
Headquarters
Murray, UT
Founded
2003

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