Senior QA Engineer

About the role: We are looking for an experienced and hands-on Senior QA Engineer with 7+ years of experience in software quality assurance. The ideal candidate must have strong expertise in manual testing, automation testing, Python, test automation frameworks, and AI-powered product testing. The candidate should have experience working in a product-based technology company and be capable of owning the complete quality lifecycle—from requirement analysis and test planning to automation, release sign-off, AI evaluation, and production-quality monitoring. Role: Senior QA Engineer Requirement: 1 Location: Bangalore (Domlur | WFO 5 days) Experience: 7+ years Requirements Responsibilities: Own the overall quality strategy for the assigned products and engineering teams. Lead manual and automation testing across web applications, mobile applications, APIs, backend services, AI features, and third-party integrations. Design, develop, and maintain scalable automation frameworks using Python. Create comprehensive test plans, test scenarios, test cases, and release-quality reports. Perform functional, regression, integration, API, database, exploratory, and performance testing. Define testing strategies for AI/ML and Generative AI features, including chatbots, recommendation systems, search, summarisation, classification, and content-generation workflows. Validate AI-generated responses for accuracy, relevance, consistency, completeness, safety, and business-rule compliance. Test AI systems for hallucinations, inappropriate responses, prompt injection, data leakage, bias, and edge cases. Build automated evaluation frameworks and datasets for testing LLM and AI-powered features. Test Retrieval-Augmented Generation (RAG) workflows, including document retrieval, context relevance, response grounding, and citation accuracy. Validate AI model and third-party LLM API integrations for reliability, latency, error handling, rate limits, token usage, and cost. Establish baseline quality metrics and regression suites for AI-generated outputs. Review product requirements, prompts, workflows, and technical designs to identify gaps and risks early in the development lifecycle. Define and track quality metrics such as defect leakage, automation coverage, regression effectiveness, release readiness, AI response accuracy, hallucination rate, and latency. Work closely with Product Managers, Developers, DevOps, Data Scientists, and AI/ML Engineers. Lead release validation, QA sign-off, production sanity testing, and post-release monitoring. Analyse production defects, support root-cause analysis, and implement preventive measures. Mentor QA engineers and promote a strong quality-first culture across Product and Engineering teams. Must-Have Qualifications 6+ years of experience in software testing and quality assurance. Strong hands-on expertise in both manual and automation testing . Proficiency in Python for developing automation…