AI Engineer

Today, patients and clinicians feel the time, energy, and stress wasted on the administrative burden of the U.S. healthcare system. At R1, we are building an AI-powered revenue operating system to hide that complexity—helping hospitals get paid accurately and faster so clinicians can focus on care instead of paperwork.

You’ll join R37, R1’s AI lab, where engineers and scientists build production AI and agentic systems that automate medical coding, billing, and denial management. This is not academic research or disconnected experimentation—your work directly powers systems used by 95 of the top 100 hospital systems in the U.S.

R37 combines the pace and ambition of a startup with real revenue, clear business value, and access to one of the richest healthcare datasets in the world.

We work with massive, real datasets:

• 180M+ claims

• 550M patient encounters

• 1.2B workflow actions, and their ultimate outcomes

Your work will directly impact how quickly hospitals get paid—and how effectively AI can reason over complex, unstructured healthcare data.

What you'll do

You’ll lead the development of early-phase, high-impact AI systems and help bring scientific rigor into production environments:

• Design and develop AI systems for retrieval, ranking, categorization, and generative AI over large-scale unstructured healthcare data

• Own AI projects end-to-end: from problem framing and model selection to production deployment and ongoing improvement

• Work backwards from complex business problems to define AI abstractions and system architectures that are scalable, explainable, and maintainable

• Bring rigor to scientific decisions by defining the right evaluation datasets, metrics, and validation strategies tied to real outcomes

• Build feedback loops and data flywheels that continuously improve model performance in production

• Partner closely with software engineers, product managers, clinicians, and operators to ensure AI systems deliver measurable business value

• Mentor other AI engineers and promote best practices across modeling, evaluation, and deployment

• Contribute to hiring and interview loops to help grow a world-class applied AI team

Examples of problems you may work on

• Developing retrieval-augmented and generative AI systems that reason over complex clinical and payer documentation

• Designing ranking and triage models that determine how work is routed between AI agents and human operators

• Building evaluation frameworks that connect model outputs to downstream financial and operational outcomes

• Prototyping and scaling new AI capabilities from 0 → 1, then hardening them for real-world production use

Who you are

• AI Engineer with a PhD and 6+ years of post-PhD experience, or equivalent industry experience at scale

• Proven track record building and operating production AI systems (e.g., search, ranking, recommendation, or generative AI)

• Comfortable moving between research, prototyping, and production engineering

• Strong ability to translate ambiguous business problems into concrete modeling and system decisions

• Experienced across the full AI lifecycle: data exploration, model development, evaluation, deployment, and iteration

• Hands-on with modern ML tooling (e.g., PyTorch, TensorFlow, Hugging Face) and production platforms (e.g., Databricks, AWS Bedrock, Azure ML)

• Thoughtful mentor who raises the scientific and technical bar of the team

• Motivated by real-world impact, not just offline metrics

Healthcare experience is not required.

Why AI Engineers choose R37

• Applied AI at uncommon scale with real operational and financial impact

• Direct ownership of AI systems that run in production—not just experiments

• Rich, high-signal datasets rarely available outside healthcare

• Close collaboration with strong software engineers, clinicians, and operators

• A fast-growing organization with a path to expand responsibility and impact

• Serious, high-impact work—with a team that values rigor, curiosity, and collaboration

Interview Process

Remote interviews focused on applied AI problem solving, system design, and scientific decision-making, followed by a final in-person interview at one of our hubs (SF, NYC, Austin, or Chicago; travel arranged).

Interview Logistics Notice
As part of our hiring process, selected candidates will participate in an in-person interview. Candidates located near one of our talent hubs—San Francisco, New York, Austin, or Chicago—will be scheduled to meet with team members in those locations. For candidates residing outside these areas, we will arrange travel to a hub for the interview. Travel accommodations will be provided as needed. We are committed to providing equal employment opportunities and ensuring a fair and inclusive experience for all applicants.

For this US-based position, the base pay range is $120,000 to $350,000 per year. Individual pay is determined by role, level, location, job-related skills, experience, and relevant education or training.

This job is eligible to participate in our annual bonus plan.

The healthcare system is always evolving — and it’s up to us to use our shared expertise to find new solutions that can keep up. On our growing team you’ll find the opportunity to constantly learn, collaborate across groups and explore new paths for your career.

Our associates are given the chance to contribute, think boldly and create meaningful work that makes a difference in the communities we serve around the world. We go beyond expectations in everything we do. Not only does that drive customer success and improve patient care, but that same enthusiasm is applied to giving back to the community and taking care of our team — including offering a competitive benefits package.

R1 RCM Inc. (“the Company”) is dedicated to the fundamentals of equal employment opportunity. The Company’s employment practices , including those regarding recruitment, hiring, assignment, promotion, compensation, benefits, training, discipline, and termination shall not be based on any person’s age, color, national origin, citizenship status, physical or mental disability, medical condition, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status or any other characteristic protected by federal, state or local law. Furthermore, the Company is dedicated to providing a workplace free from harassment based on any of the foregoing protected categories.

If you have a disability and require a reasonable accommodation to complete any part of the job application process, please contact us at 312-496-7709 for assistance.

CA PRIVACY NOTICE: California resident job applicants can learn more about their privacy rights California Consent

To learn more, visit: R1RCM.com

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