Software Quality Assurance Engineer

About the role

Medcare MSO is seeking a Software Quality Assurance Engineer to join its AI Team in Lahore. You will be responsible for ensuring the quality, accuracy, reliability, and performance of AI‑enabled healthcare applications, working closely with ML, Data, and Full‑Stack engineers.

Key responsibilities

• Design, develop, and execute test cases for AI‑based applications, APIs, dashboards, and backend workflows.
• Perform functional, regression, smoke, sanity, integration, and UAT testing across AI products.
• Validate AI/ML outputs against business, healthcare, and RCM rules.
• Test REST APIs using Postman, Swagger or similar tools.
• Conduct database validation with SQL to verify data accuracy, completeness and consistency.
• Collaborate with ML and Data Engineers to validate datasets, model outputs and data pipelines.
• Identify edge cases, incorrect predictions and output quality issues.
• Report bugs with clear reproduction steps, expected vs actual results, screenshots and severity.
• Support automation testing using Python‑based frameworks such as Pytest, Selenium or Playwright.
• Participate in sprint planning, requirement discussions, release testing and production verification.
• Ensure solutions comply with healthcare data accuracy, confidentiality and HIPAA expectations.
• Maintain QA documentation, test scenarios, execution reports and defect tracking records.

Required profile

• Bachelor’s degree in Computer Science, Software Engineering, IT, Data Science or a related field.
• 2–4 years of experience in Software Quality Assurance, preferably in AI, healthcare IT, SaaS or data‑driven products.
• Strong understanding of manual QA concepts, test case writing, defect lifecycle and QA documentation.
• Hands‑on experience with API testing tools (Postman, Swagger, Newman) and solid knowledge of REST APIs, JSON, HTTP methods and authentication.
• Working knowledge of SQL for database testing and data validation.
• Basic Python knowledge for automation or data validation.
• Familiarity with automation frameworks such as Pytest, Selenium or Playwright is a plus.
• Basic understanding of AI/ML testing concepts (model prediction validation, false positives/negatives, accuracy, precision, recall, edge‑case testing).
• Experience with test management tools like Jira, ClickUp, Azure DevOps, TestRail or Zephyr.

Required skills

• Postman
• Swagger
• Newman
• REST APIs
• JSON
• HTTP methods & status codes
• SQL
• Python
• Pytest
• Selenium
• Playwright
• Jira
• ClickUp
• Azure DevOps
• TestRail
• Zephyr