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About the Role

We are seeking an Applied AI Engineer/Scientist to build, evaluate, and continuously improve clinical AI agents and supervised ML Models. You will work at the intersection of software engineering, LLM systems, evaluation, model improvement, and deep healthcare workflow understanding, turning frontier model capability into reliable production behavior. You will own the loop from problem framing to agent design, evaluation, deployment, trace analysis, and ongoing improvement within challenging healthcare domains.

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 what “good” looks like for clinical agents end-to-end, translating expert workflows into specifications, rubrics, gold standards, test cases, and clinically meaningful success criteria.
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 from 0 → 1, then harden them into reliable, explainable, auditable production systems with clear contracts, monitoring, evidence, rationale, and performance gates.
Partner with research and ML 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.

Requirements

Bring 4+ years of software engineering, ML engineering, research engineering, or applied AI experience.
Highly proficient in Python and comfortable building production systems with APIs, structured data, async workflows, testing, logging, and observability.
Experience turning messy real-world workflows into structured AI problems, including classification, ranking, extraction, decisioning, LLM applications, agents, RAG, tool calling, structured outputs, prompting, or evaluation.
Experience building or operating evaluation systems, benchmarks, annotation workflows, experiment tracking, or regression tests for AI systems.
Thrive in ambiguous, high-stakes domains: working with experts, debugging real-world failures, and turning model potential into reliable, correct, safe systems that work for users.

Skills

Python
APIs
Structured data
Async workflows
Testing
Logging
Observability
Classification
Ranking
Extraction
Decisioning
LLM applications
Agents
RAG
Tool calling
Structured outputs
Prompting
Evaluation

Location

San Francisco
New York
Austin
Chicago

Work Type

Onsite
In-person interview

Experience Level

Level 2
Staff
Senior
Team Lead
4+ years of software engineering, ML engineering, research engineering, or applied AI experience

Salary/Compensations

$140,000.00-$300,000 per year

Benefits

Top-of-market compensation (salary + equity)
Flexible PTO
Comprehensive health benefits
401(k) matching
Inspiring, brilliant, mission-driven teammates
Annual bonus plan

About the Company

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.
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.

Equal Opportunity

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.