> Markdown version of [/jobs/ext/3852355-senior-software-engineer-r37](https://www.wearedevelopers.com/jobs/ext/3852355-senior-software-engineer-r37). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer - R37 - **Company:** R1 RCM Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $101,100.0 - $206,803.0 - **Contract:** Permanent contract - **Skills:** Query Performance, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Application Layers, Audit Trail, Automation of Tests, C Sharp (Programming Language), Cloud Engineering, Code Generation, Code Review, Databases, Concurrency Controls, Continuous Integration, Cursor, Software Debugging, Integrated Development Environments, Object-Oriented Software Development, Secure Coding, Software Engineering, TypeScript, Web Application Frameworks, Web Services, Policy as Code, GitHub Copilot, ReactJS, Large Language Models, Claude Code, Multi-Agent Systems, Prompt Engineering, AI Coding Agents, AI Platforms, AngularJS, Non-relational Database, Data Management, Api Design, Software Version Control - **Published:** October 21, 2026 - **Apply:** https://r1rcm.wd1.myworkdayjobs.com/R1RCM/job/Remote-UT/Senior-Software-Engineer---R37_R260000007528 ## About the Role * 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. ## Description * 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.