The Role Leads development and sustainment of secure, scalable production software using AI coding agents. Designs agentic development environments, orchestrates parallel workflows, validates AI-generated code, and integrates LLM platforms and conversational voice technologies. Advances cloud-native engineering, testing, APIs, databases, automation, and compliance practices while mentoring engineers and influencing technical stakeholders. Summary Generated by Built In At R1, we're transforming how healthcare works by combining nearly two decades of revenue cycle expertise with advanced technology, including analytics, AI, intelligent automation and workflow orchestration. We pair that technology with the irreplaceable expertise of our people to help hospitals, health systems and medical groups improve financial performance, simplify administrative complexity and create better experiences for patients and providers. All Together Better defines our culture and the way we work. We're a diverse, global team united by a shared mission to make healthcare work better for all. Across technology, operations and support functions, our people bring deep expertise, empathy and ingenuity to the work we do. Here, collaboration fuels progress, adaptability sparks innovation and every voice can help shape what's next for R1 and the future of healthcare. About R37 R37 is R1's AI innovation lab, building 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. What makes R37 different is the opportunity to build advanced AI at real-world scale. R1 works across 95 of the top 100 U.S. health systems, giving R37 access to the data, workflows and reach needed to make an immediate impact: 180M+ claims 550M+ patient encounters 1.2B+ workflow actions and outcomes annually This is startup-level ownership with enterprise-level impact. You'll build technology that moves from idea to real healthcare environments, solving complex problems at scale and changing how healthcare works. Here's what you will experience working as a
Senior Software Engineer:
Lead the development and sustainment of secure, scalable, highly available production software, using AI coding agents as the primary means of implementation across the database, service, and application layers. Orchestrate multiple agents and parallel workstreams by decomposing complex features into well-scoped tasks with clear context, constraints, acceptance criteria, and verification plans. Design and maintain the team's agentic development environment, including project context files, reusable prompts, custom commands, hooks, MCP server integrations, and CI/CD guardrails. Set the standard for AI-generated code by validating output through automated testing, code review, security checks, performance measurement, and compliance with HIPAA and company data-handling requirements. Lead integrations with third-party AI platforms, LLM APIs, and AI-powered IVR or conversational voice solutions while partnering with Product Management, architects, and engineers to deliver intuitive, reliable products. Advance engineering practices across automation, auditability, infrastructure and policy as code, automated testing, data modeling, API development, query performance, concurrency control, and modern cloud-native delivery. Mentor junior engineers in prompting, context engineering, architecture, and critical review of AI output, while serving as a trusted subject-matter expert across diverse technical and business teams.
Required Skills:
7-10 years of software engineering experience, including significant production use of AI-assisted or agentic development, and a bachelor's degree or equivalent experience. Expert-level experience delivering production software through AI coding agents such as Claude Code, Cursor, GitHub Copilot, or similar tools, including multi-agent and parallel workflows. Advanced prompting and context-engineering skills, with the ability to design reliable workflows around model strengths, limitations, and failure modes and to verify AI-generated output against tests and source material. Experience configuring agent tooling, including MCP servers, custom commands, hooks, rules or project context files, and CI integration of agents. Expert code-reading and architecture-review skills across the full stack, including object-oriented development in C#, Java, or TypeScript and modern JavaScript frameworks such as React or Angular. Experience with APIs and web service standards, relational and non-relational databases, data modeling, distributed or message-driven systems, automated testing, version control, Agile delivery, and CI/CD. Strong cloud architecture, debugging, technical documentation, and communication skills, with the ability to manage multiple priorities, influence stakeholders, mentor others, and explain complex solutions clearly. Experience applying secure development and data-handling practices in environments involving confidential or regulated information. For this US-based position, the base pay range is $101,100.00 - $206,802.61 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 at a target of 10.00% 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.
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California resident job applicants can learn more about their privacy rights California Consent To learn more, visit: R1RCM.com Visit us on Facebook Read Full Description Skills Required 7-10 years of software engineering experience Significant production experience using AI-assisted or agentic development Bachelor's degree or equivalent experience Expert production experience with AI coding agents such as Claude Code, Cursor, GitHub Copilot, or similar tools Experience with multi-agent and parallel development workflows Advanced prompting and context-engineering skills Experience configuring MCP servers, custom commands, hooks, rules, project context files, and CI agent integrations Expert code-reading and architecture-review skills across the full stack Object-oriented development experience in C#, Java, or TypeScript Experience with modern JavaScript frameworks such as React or Angular Experience with APIs, web service standards, relational and non-relational databases, data modeling, distributed or message-driven systems, automated testing, version control, Agile delivery, and CI/CD Strong cloud architecture, debugging, technical documentation, and communication skills Ability to manage multiple priorities, influence stakeholders, mentor others, and explain complex solutions clearly Experience applying secure development and data-handling practices with confidential or regulated information R1 RCM Compensation & Benefits Highlights The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about R1 RCM and has not been reviewed or approved by R1 RCM. About This Summary Leave & Time Off Breadth — Flexible or unlimited PTO, paid holidays/vacation, and paid volunteer time are highlighted, supporting work-life balance in many roles. Time-off usability is described as workable in many teams, especially in exempt roles. Flexible Benefits — Remote work options and flexible schedules are available for many positions, offering convenience and adaptability depending on role and location. Work-from-home eligibility varies by position but is called out as a valued option. Career-Linked Recognition & Rewards — Recognition programs such as R1 Stars are implemented to boost engagement and morale. Feedback suggests these programs help reduce turnover and provide acknowledgment beyond base pay. Learn more about R1 RCM's Compensation & Benefits → R1 RCM Insights What's It Like to Work at R1 RCM? R1 RCM Culture & Values R1 RCM Career Growth & Development What's the Work-Life Balance Like at R1 RCM? R1 RCM Leadership & Management R1 RCM Company Growth, Stability & Outlook View all jobs at R1 RCM View R1 RCM Profile Report Job
Benefits
Paid Time Off (PTO)
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