R37 is R1’s AI innovation lab that builds technology to transform healthcare. Our flagship platform, Phare OS, uses AI and automation to improve critical pre-bill workflows, including authorization, utilization management, documentation, and coding. By identifying and resolving issues before claims are submitted, Phare OS helps prevent denials, improve reimbursement, and move revenue cycle work upstream. This role offers startup-level ownership with enterprise-level impact, as you build technology that moves from idea to real healthcare environments at scale. You’ll work across frontend applications, backend services, data pipelines, and AI systems powering models, specialized reasoning, resolution agents, and human-in-the-loop AI features. You will 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, and collaborate with AI/ML engineers to build AI-native systems that blend deterministic logic, traditional ML models, and large language models. You will design and build secure, compliant, and reliable systems at scale. We prefer this role to be located at one of our hub offices: New York, NY; San Francisco, CA; or Austin, TX. Requirements: Software engineer with 2+ 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; experience scaling production systems and debuggin

R37 is R1’s AI innovation lab that builds technology to transform healthcare. Our flagship platform, Phare OS, uses AI and automation to improve critical pre-bill workflows, including authorization, utilization management, documentation, and coding. By identifying and resolving issues before claims are submitted, Phare OS helps prevent denials, improve reimbursement, and move revenue cycle work upstream. This role offers startup-level ownership with enterprise-level impact, as you build technology that moves from idea to real healthcare environments at scale. You’ll work across frontend applications, backend services, data pipelines, and AI systems powering models, specialized reasoning, resolution agents, and human-in-the-loop AI features. You will 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, and collaborate with AI/ML engineers to build AI-native systems that blend deterministic logic, traditional ML models, and large language models. You will design and build secure, compliant, and reliable systems at scale. We prefer this role to be located at one of our hub offices: New York, NY; San Francisco, CA; or Austin, TX. Requirements: Software engineer with 2+ 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; experience scaling production systems and debuggin