Staff Software Engineer, R37

Staff Software Engineer — R37 AI Lab 

Remote (USA) 

Build AI systems that actually run healthcare 

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 build production AI and agentic systems that automate medical coding, billing, and denial management. This is not prototypes or demos—your code ships into products used nationwide. 

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 for the care they provide. 

What you’ll do 

• Design, code, test, deploy, and operate backend services, data pipelines, and AI systems that power models, specialized reasoning and resolution agents, and human-in-the-loop AI features 

• Lead the design and delivery of larger features or systems, breaking down ambiguous problems into clear technical plans 

• Raise the bar for code quality, reliability, and security through thoughtful design reviews and code reviews 

• Mentor and support other engineers through pairing, feedback, and technical guidance 

• Partner closely with product managers and operators to turn complex manual workflows into scalable, agentic AI automations 

• Work with AI and ML engineers to build AI-native systems that combine deterministic logic, traditional ML models, and LLMs 

• Design and evolve secure, compliant, and reliable systems at scale 

Who you are 

• Staff Software engineer with 10+ years of experience building and operating products backed by ML/AI systems – like search, recommendations, ads 

• Organizational‑level technical leader who sets direction across multiple teams or initiatives, aligning architecture and execution to company‑level goals while unblocking teams, raising the technical bar, and driving outcomes at scale. 

• Strong track record of mentoring engineers and improving team execution through reviews, design input, and shared standards 

• You love the power AI coding tools like Cursor and Windsurf give you and you are excited to teach the organization how to better adopt them 

• Comfortable speaking directly with users, understanding their needs, and then designing solutions that deliver 

• Hands-on engineer who enjoys writing code and debugging real production issues 

• Experienced scaling systems and resolving issues across performance, reliability, and data correctness 

• You want meaningful ownership and the opportunity to multiply the impact of the team 

Healthcare experience is not required. 

Why engineers choose R37 

• Real technical ownership with influence over system design and team standards 

• Opportunities to mentor and shape the next generation of engineers 

• AI and systems engineering at uncommon scale 

• Clear impact on production metrics and business outcomes 

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

• Serious work—with a team that enjoys building together 

Interview process 

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