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Mid-level QA in Bangalore with common tools, generalist scope and metro location increases candidate competition.
Core QA skills transferable, but healthcare-specific compliance and conversational AI validation increase domain sensitivity.
Explicit minimum experience, many mandatory QA tools and healthcare/AI validation requirements raise filtering strictness.
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Design and implement test strategies for traditional and AI-powered features of Personal Health Concierge platform focusing on high-impact modules like provider search, symptom guidance, and claims status.
Perform functional, regression, integration, and system testing including validation of chatbot conversations, AI responses, and healthcare-specific RAG-based retrieval accuracy.
Collaborate with cross-functional teams and leverage automation tools (Selenium, Jenkins) and accessibility testing (JAWS) to improve quality engineering practices and testing coverage.
At least 4 years experience in quality engineering for web applications and microservices, including AI-enabled application testing.
Proficiency in Jenkins, Postman, Selenium, BDD, SoapUI, System Integration testing, Zephyr, TDD, and Accessibility Testing with JAWS.
Bachelor's degree in Computer Science, Information Technology, or related field.
Certified Software Quality Engineer (CSQE) or ISTQB Advanced Level Test Analyst certification required; AI/ML testing certification preferred.
Experienced in quality engineering within healthcare domain, specifically with AI and conversational testing including RAG methodologies.
Skilled in advanced API automation and contact center integrations (e.g., Avaya).
Ability to design and execute detailed test scenarios across complex web and microservice platforms involving AI features and healthcare compliance.