Note: The job is a remote job and is open to candidates in USA. R1 RCM’s R37 AI innovation lab builds technology to transform healthcare. The Senior Software Engineer leads development of secure, scalable production software using AI coding agents, builds agentic development workflows, integrates AI platforms, and advances engineering practices while mentoring engineers.
Responsibilities
- 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
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
Benefits
- Eligible to participate in the annual bonus plan at a target of 10.00%
- Remote work (UT, CO, and USA)
Company Overview
Company H1B Sponsorship