Applied AI Engineer/Scientist (Healthcare AI)

TL;DR

Applied AI Engineer/Scientist (Healthcare AI): Building and iterating on agentic AI systems for complex healthcare workflows with an accent on clinical reasoning, medical coding, and revenue cycle automation. Focus on designing rigorous evaluation loops, optimizing long-horizon agent behavior, and bridging the gap between prototype and production.

Location: Must be based in the United States (Remote/Hybrid, New York)

Salary: $140,000 – $300,000 per year

Company

hirify.global (part of R1) is building the first AI-native Healthcare Revenue Operating System to automate medical coding and billing at a national scale.

What you will do

• Design and iterate on agentic AI systems for clinical documentation, coding, and revenue cycle automation.
• Develop long-horizon agent behaviors covering retrieval (RAG), tool use, memory, routing, and verification.
• Define success criteria and translate expert clinical workflows into specifications and gold standard test cases.
• Build rigorous evaluation and feedback loops using production logs and expert reviews to measure safety and reliability.
• Prototype new AI capabilities and harden them into explainable, auditable production systems.
• Partner with ML research teams on model selection, fine-tuning, reward modeling, and distillation.

Requirements

• 4+ years of experience in software engineering, ML engineering, or applied AI.
• High proficiency in Python and experience building production systems with APIs and async workflows.
• Experience turning real-world workflows into structured AI problems (LLMs, agents, RAG, tool calling).
• Experience building evaluation systems, benchmarks, or regression tests for AI systems.
• Must be based in the United States.

Culture & Benefits

• Top-of-market compensation including salary and equity.
• Comprehensive health benefits and 401(k) matching.
• Flexible PTO.
• Opportunity to work with a mission-driven team on high-impact, national-scale healthcare AI.

Hiring process

• Intro call focused on background and mission alignment.
• Technical deep-dives including pseudo-coding and system design.
• Final in-person interview at a talent hub (SF, NYC, Austin, or Chicago) with travel provided.