Quality Assurance Engineer

• Performing thorough manual testing of AI-driven medical analysis tools to ensure accuracy and reliability in processing complex patient data.
• Executing comprehensive test plans across web applications, focusing on user experience, data accuracy, and workflow validation.
• Collaborating closely with engineers, product managers, and domain experts to understand user workflows and identify critical testing scenarios.
• Conducting specialized testing of AI/ML outputs, including validation of NLP results, LLM responses, and data processing accuracy across diverse medical datasets.
• Working directly with physicians and legal teams to gather feedback and ensure the tools meet real-world quality standards.
• Helping establish QA processes and documentation standards, contributing to testing practices as the company scales.
• Identifying, documenting, and tracking defects using bug tracking tools while working collaboratively with the development team to resolve issues quickly.

Qualifications:

Must Haves:

• 3+ years of manual QA experience with web applications, including test case creation, execution, and defect management.
• Strong experience in functional testing, user acceptance testing, and exploratory testing.
• Familiarity with web technologies and ability to test applications built with modern frameworks.
• Experience with bug tracking and test management tools (e.g., Linear, Jira, TestRail, or similar).
• Understanding of AI/ML concepts or strong willingness to learn, including how to validate model outputs and data processing results.
• Excellent analytical and problem-solving skills with meticulous attention to detailcritical when working with medical data.
• Strong communication skills and ability to work collaboratively in a fast-paced startup environment.

Nice to Haves:

• Experience with automated testing frameworks (Cypress, Playwright, Selenium, Jest) or scripting for test automation.
• Knowledge of API testing tools (Postman, Insomnia) and basic understanding of REST endpoints.
• Experience with Python or other scripting languages.
• Background in healthcare, medical devices, or regulated industries with understanding of compliance requirements.
• Familiarity with cloud platforms (AWS) and web application architecture.
• Experience testing NLP applications, LLMs, or AI-powered products.
• Knowledge of accessibility testing and HIPAA compliance considerations.

- Understanding of agile development methodologies and CI/CD processes.,