Senior Software Engineer, RCM Email Agents

Responsibilities

• Design, build, and operate production AI agents for high-volume revenue cycle management (RCM) email workflows.
• Develop agent harnesses supporting tool use, structured workflows, context management, human escalation, and reliable execution.
• Build scalable backend services and APIs with Python and FastAPI.
• Create React and JavaScript interfaces for operations teams to review, manage, and improve agent activity.
• Design PostgreSQL schemas and data pipelines for workflow state, auditability, analytics, and agent performance.
• Integrate agents with email systems, internal services, healthcare workflows, and third-party platforms.
• Build evaluation frameworks measuring agent accuracy, resolution rate, escalation rate, latency, and cost.
• Establish monitoring, alerting, reporting, and safeguards for business-critical workflows.
• Investigate production failures, identify root causes, and improve system reliability.
• Work directly with RCM operators and customers to understand workflows and turn feedback into product improvements.
• Own projects from problem definition through implementation, deployment, and measurable production impact.
• Help establish a strong engineering culture as the team grows in Rio.

Requirements

• Professional experience building and operating production software systems.
• Strong proficiency in Python and experience developing APIs and services with FastAPI.
• Strong full-stack development skills with React and JavaScript or TypeScript.
• Experience designing data models and production systems with PostgreSQL.
• Hands-on experience with LLMs, AI agents, or agent harnesses, including tool calling, orchestration, context management, evaluations, retries, and human-in-the-loop workflows.
• Understanding of production engineering, including testing, observability, alerting, incident response, and system reliability.
• Experience with containers and cloud infrastructure such as Docker and Kubernetes.
• Ability to move quickly while maintaining correctness, maintainability, and user experience.
• Strong product judgment and ability to simplify complex operational workflows.
• Excellent ownership and communication skills with technical and non-technical stakeholders.
• Builder mindset and enthusiasm for applying AI to healthcare problems.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Nice to Have

• Experience building email agents, support automation, workflow engines, or asynchronous processing systems.
• Experience developing evaluation systems for LLM-powered products.
• Familiarity with revenue cycle management, healthcare billing, claims, remittance, or practice-management workflows.
• Experience building systems requiring strong auditability, security, and data privacy.
• Experience operating high-volume distributed systems with queues, background workers, and third-party integrations.

Security Requirements

• Employees must follow information security policies, protect organizational assets, and report confirmed or potential security events and risks.
• Employees must attest to these requirements upon hire and annually.