Exp: 5-8 yrs Location: Bangalore, Mumbai Key Responsibilities • Functional & Manual Testing (Web Application)  Analyze business and technical requirements and translate them into detailed test cases and scenarios  Perform functional, regression, integration, and system testing for web applications  Participate in early design and requirement reviews to identify risks and gaps • Automation Testing  Design, develop, and maintain scalable automation frameworks  Automate UI, API, and regression test suites  Ensure automation is reliable, reusable, and integrated into CI/CD pipelines  Extend automation to support AI response validation where applicable • API & Backend Testing  Test RESTful APIs using tools like Postman, REST Assured, Karate, or equivalent  Validate payloads, error handling, and edge cases  Collaborate with backend teams to debug and verify fixes • Database & Data Validation  Perform database validation to ensure data consistency across systems  Write SQL queries to validate inventory data, transactions, and reports  Ensure alignment between UI, API, and database layers • AI Model & Response Validation  Validate AI-generated outputs for accuracy, relevance, and completeness  Design test scenarios for non-deterministic outputs (multiple acceptable responses)  Identify and report issues such as hallucinations, incorrect recommendations, and inconsistencies  Define evaluation metrics (e.g., precision, recall, response quality scoring) • Agentic Workflow Testing  Test end-to-end AI agent workflows involving planning, decision-making, and execution  Validate multi-step processes (e.g., recommendation → action → system update)  Ensure correct tool/API usage by agents  Test failure handling, fallback logic, and recovery mechanisms • Prompt & Scenario Testing  Design and execute prompt-based test cases  Evaluate system behavior under varied inputs and edge scenarios  Perform exploratory testing for real-world user queries • Non-Functional Testing  Support performance, scalability, and reliability testing  Validate system behavior under load, especially for AI-driven components  Ensure stability of AI responses under concurrent usage • Bias, Safety & Compliance Testing  Identify potential biases or unfair outcomes in AI responses  Ensure outputs comply with business rules and safety guidelines  Validate guardrails and content filtering mechanisms • Collaboration & Process  Work closely with Product, Engineering, Data Science, and DevOps teams  Participate in sprint planning, stand-ups, and defect triage  Track and manage defects using tools like JIRA  Contribute to QA strategy, test plans, and best practices  Advocate shift-left testing including AI validation early in the lifecycle Required Skills & Qualifications Technical Skills  4–8 years of experience in QA for web-based applications  Strong understanding of web architecture (UI, backend, APIs, databases)  Hands-on experience with automation tools: Selenium, Playwright, Cypress, REST Assured, Postman, or Karate  Proficiency in Java, Python, or JavaScript  Strong SQL skills for data validation  Experience with CI/CD tools (Jenkins, GitLab CI, Azure DevOps) AI / Agentic Testing Skills  Understanding of AI/ML concepts and LLM-based systems  Experience or exposure to testing AI-driven applications or chat-based systems  Ability to validate non-deterministic outputs and define acceptance criteria  Familiarity with prompt engineering and response evaluation techniques  Understanding of agent-based systems and multi-step workflows Tools & Technologies  Test Management & Defect Tracking: JIRA, TestRail, Zephyr  Version Control: Git  API Testing: Postman, Swagger  Automation: Selenium, Cypress, Playwright  AI Evaluation (nice to have): Prompt testing frameworks, evaluation dashboards  Cross-browser testing tools Preferred / Nice-to-Have Skills  Experience with inventory management, ERP, or supply chain systems  Knowledge of microservices architecture  Exposure to cloud platforms (AWS, Azure, GCP)  Experience testing AI/ML or recommendation systems  Familiarity with LLM evaluation tools or frameworks  Basic knowledge of performance testing tools (JMeter, Gatling) Soft Skills  Strong analytical and problem-solving skills  Ability to handle ambiguity in AI-driven