Who We Are - Motivated by Purpose. Powered by Clinical Expertise.
Founded in 1983, we’re a clinically driven, tech-enabled utilization management company offering expert clinical reviews, regulatory guidance, and actionable insights to healthcare organizations.
Excellence starts with our people.
We Offer
A competitive compensation package
Benefits include healthcare, vision, and dental insurance
A generous 401(k) match
Paid vacation, PTO, and holidays
Growth and training opportunities
An award-winning remote work environment
Position Summary
Staff-level software engineer responsible for designing, developing, and maintaining modern web applications using full-stack technologies. This role leverages AI-assisted development tools (e.g., Claude Code, Gitlab Duo) alongside traditional engineering practices to deliver high-quality, secure, and scalable software solutions in a regulated healthcare environment.
Roles
Develop, maintain, and deploy full-stack web applications
Build user interfaces using React and modern frontend technologies
Develop backend services using NodeJS and Python (APIs, microservices)
Support application hosting, server management, and deployment pipelines
Utilize AI-assisted coding tools to enhance development efficiency and quality
Major Responsibilities or Assigned Duties
Design, implement, test, document, and maintain software applications aligned with coding standards and industry best practices
Develop scalable APIs and backend services using NodeJS and Python
Build responsive, accessible UI components using React
Collaborate with stakeholders to define system scope, requirements, and design solutions
Document, investigate, prioritize, and resolve software defects
Monitor, analyze, and enhance application performance and reliability
Contribute to CI/CD pipelines, automated testing, and DevOps practices
Research and recommend improvements to tools, frameworks, and development processes
Ensure adherence to security, privacy (PHI/HIPAA), and compliance standards
Complete other duties as assigned
AI-Assisted Development & Coding Tools Usage
Actively use AI-powered coding assistants (e.g., Claude Code, Gitlab Duo, etc.) throughout the development lifecycle
Apply AI tools to
Generate and refactor code
Accelerate debugging and root cause analysis
Create unit tests and documentation
Assist in architectural and design decisions
Improve development speed while maintaining accuracy, maintainability, and security
Engineering Expectations
Treat AI-generated content as advisory, not authoritative
Perform thorough validation, testing, and code review of all AI-assisted output
Demonstrate ability to refine prompts and evaluate outputs critically
Secure & Compliant AI Usage
Do not input sensitive data into AI tools, including: Protected Health Information (PHI), Personally Identifiable Information (PII). & Proprietary or confidential logic
Use only organization-approved AI tools and environments
Comply with all data security, privacy, and regulatory policies
Governance & Audit Readiness
Maintain traceability of AI-assisted contributions where required: Clear commit messages, Documentation of AI-assisted design or code decisions
Be prepared to demonstrate: Human validation of outputs, and Compliance with security and development standards
Support organizational standards for responsible AI usage
Continuous Improvement
Identify opportunities to improve delivery through AI-assisted workflows
Share best practices, prompt designs, and learnings across the team
Contribute to development of AI usage guidelines and reusable accelerators
Risk Awareness
Identify and mitigate risks from AI-generated output, including: Incorrect or incomplete logic, Security vulnerabilities, and Licensing or compliance concerns
Escalate concerns related to AI that may impact security, compliance, or reliability