Senior Full Stack Software Engineer AI-Augmented

About the Role

We're a healthcare technology provider looking for a Senior Full Stack Software Engineer who combines solid software engineering fundamentals with modern AI-assisted development practices.

You'll work within a cross-functional product team to design, build, deploy, and operate healthcare features, including patient-facing and admin systems. We follow a "You Build It, You Ship It" culture where engineers own features from ideation to production and post-deployment monitoring.

• Build and maintain full stack applications using PHP/Laravel, Vue, React, TypeScript, and MySQL.
• Design and integrate REST and FHIR APIs.
• Collaborate with Product, Design, and Engineering on solution design and product ideation.
• Use AI tools to accelerate development while validating outputs for correctness, security, and maintainability.
• Participate in code reviews and help prevent AI-generated hallucinations from reaching production.
• Build automated tests and contribute to CI/CD pipelines.
• Deploy, monitor, troubleshoot, and support production systems.
• Participate in incident reviews and post-mortems to identify root causes and improve reliability.
• Share knowledge, mentor teammates, and contribute to a collaborative engineering culture.

• 5+ years of professional software engineering experience.
• 1+ year of AI-augmented software engineering experience.
• Experience working in Agile/Scrum teams.
• Experience owning software through deployment and production operations.
• Cloud platform experience (preferably Azure.)

• PHP and Laravel
• Vue.js and/or React
• TypeScript
• MySQL
• REST APIs
• Git
• CI/CD
• Containerization (e.g., Docker)
• Automated testing
• Application security

Working knowledge of:

• OOP
• SOLID and/or GRASP principles
• Design Patterns
• Clean, maintainable, and testable code practices

• Healthcare domain experience
• FHIR integration experience

• Thinks analytically and solves problems pragmatically.
• Takes ownership from ideation through production.
• Uses AI as a force multiplier, not a replacement for engineering judgment.
• Cares about quality, reliability, and security.
• Enjoys collaboration, knowledge sharing, and continuous improvement.