About Us:
Phare Health is now part of R1 and its AI innovation engine, R37 Lab—bringing Phare’s frontier clinical reasoning technology together with one of the largest healthcare platforms in the U.S.
At R37 and Phare, we are building the first AI-native Healthcare Revenue Operating System: a connected platform that reasons over full medical records, payer logic, and financial workflows to automate medical coding, billing, and follow-up.
Backed by real customers, real data, and real distribution, we operate on a national scale. Our agentic AI systems already power production workflows across 95 of the top 100 U.S. health systems, processing hundreds of millions of patient encounters each year, including:
180M+ Claims
550M+ Patient encounters
1.2B+ Workflow actions and outcomes each year
This is startup-level ownership with enterprise-level impact. If you want to build AI that ships, scales, and measurably improves how healthcare works—this is the place to do it.
What you'll build
Design, code, test, deploy, and operate frontend applications, backend services, data pipelines, and AI systems that power models, specialized reasoning and resolution agents, and human-in-the-loop AI features
Run A/B tests and ship production features tied to real business outcomes
Partner closely with product managers and operators to turn cumbersome manual workflows into agentic and AI-driven automations
Work with AI and ML engineers to build AI-native systems that combine deterministic logic, traditional ML models, and LLMs
Design and build secure, compliant, and reliable systems at scale
Who you are
Software engineer with 3-6+ years of experience building and operating production systems
Demonstrated experience owning features or services end-to-end in production
Comfortable leading projects independently, from design through deployment and iteration. You love talking to users directly to understand their needs and designing solutions hand in hand with product.
Experienced scaling production systems including debugging real-world issues across performance, reliability, and data correctness
You want meaningful ownership and the ability to influence technical and product direction
You’re curious about applied AI and eager to deepen your expertise
You care deeply about clean code, reliability, and production readiness
Healthcare experience is not required.
Role Leveling:
We are looking for candidates at various levels with this type of experience, ranging from L2 (Mid-level) to L4 (Staff).
L2: Independently delivers a complete end-to-end project, owning design, implementation, and delivery of scoped work
L3: Leads delivery of larger projects, handling increased technical complexity and ambiguity, providing light guidance to L2s on shared work
L4: Leads teams or major cross-functional initiatives while managing a portfolio of projects aligned to key technical goals
Interview process
Remote interviews focused on collaborative problem-solving, 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 $140,000.00-$300,000 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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Top Skills
What We Do
Phare Health is bringing hospital administration and revenue cycle management into the large language model era. The firm develops AI technology for the back office to address the systemic challenges of healthcare finance and, by doing so, lead the industry in improving outcomes for hospitals, clinicians, and patients. Phare Health is backed by some of the best healthcare systems and investors in the world, with a founding team from DeepMind, Google and NYU.









