Quality & Reliability Engineer (AI Systems & Workflow Assurance)

About this role

Clinically AI seeks a Quality & Reliability Engineer to ensure stability and correctness of AI-powered healthcare workflows. This role goes beyond traditional QA, focusing on systems reliability, AI behavior validation, and operational quality in complex clinical environments where testing must account for non-deterministic outputs and real-world workflow constraints.

What you'll do

• Design and build automated test suites using Playwright and other frameworks to validate AI-native healthcare workflows
• Validate AI system outputs, edge cases, and failure modes across clinical and operational use cases
• Test REST APIs for authentication, permissions, data integrity, and workflow behavior
• Collaborate with product, engineering, and implementation teams to identify and resolve reliability issues
• Debug issues across frontend, backend, and distributed systems with root cause analysis
• Ensure release confidence through comprehensive testing in CI/CD pipelines

What they're looking for

• Test automation (Playwright, Cypress, Selenium, or WebdriverIO)
• JavaScript or TypeScript
• Frontend debugging and browser tools
• REST API validation
• CI/CD pipelines (GitHub Actions preferred)
• Root cause analysis and technical communication
• Systems thinking and workflow analysis
• AI/LLM testing experience (preferred)

Benefits

• Competitive base salary ($140,000–$170,000 depending on experience)
• Equity participation with long-term ownership
• Healthcare coverage
• Flexible time off
• Hybrid work (Monday–Thursday onsite in San Diego, CA)
• Fast-paced startup environment with collaborative teams