Senior Quality Analyst (Automation & Manual)

Job Title: SDET (Software Development Engineer in Testing) – Senior Automation QA & Manual Testing Experience: 8+ Years Employment Type: Full-Time Dept: FSD Designation: Senior Specialist – FSD QA Location: Hybrid About Us At InxiteOut Pvt. Ltd., we specialize in building next-generation AI-powered applications that solve real-world business problems. We are expanding our QA team to ensure our AI systems are robust, secure, and aligned with user expectations. Key Responsibilities · Strong knowledge of Python. · Configure and test AI/ML product/system. · Lead the quality assurance strategy and establish automation frameworks from scratch. · Manage and mentor junior QA engineers and guide them in test automation and AI system validation. · Own functional and non-functional testing across complex distributed systems. · Own API, integration, acceptance, system, and end-to-end (E2E) testing. · Lead test planning, test case design, and execution for web, API, and AI-based systems. · Design and maintain regression test suites and ensure full coverage. · Collaborate with Full Stack Developers, Data Scientists, and AI Engineers to define test strategies for LLM-based features. · Own testing of AI-specific behaviors including: o Hallucination and factual accuracy o Consistency in prompt-response pairs o Retrieval-Augmented Generation (RAG) flows · Collaborate with developers, product owners, and other QA engineers in Agile teams. Must-Have Skills · Deep experience in Functional Testing: o Advanced REST API Testing (Postman, REST Assured, etc.) o Integration, Acceptance, E2E, Smoke, Sanity, System Testing · Strong foundation in Non-Functional Testing: o Performance and Load Testing o Stress and Security Testing · Proficiency in Testing Methods: o Black-box, White-box, Grey-box Testing · Regression Testing lifecycle ownership · Expertise in automation frameworks (e.g., Selenium, Playwright, Cypress, TestNG) · Strong scripting/coding skills in Python (preferable) / Java / JavaScript · Familiarity with containerized environments (Docker, Kubernetes) Good-to-Have (AI Testing Focus) · Exposure to testing AI/ML products/systems. · Experience of integrating tests into CI/CD pipelines (GitHub Actions, GitLab, Azure DevOps etc.). · Hands-on experience with AI testing tools or custom frameworks. · Familiarity with evaluating LLM (large language model) outputs. · Experience of validating RAG-based architecture. · Understanding of hallucination detection metrics and prompt tuning. · Exposure to safety audits for AI applications. · Collaboration experience with Full Stack, Data Science, Data Engineering & DevOps teams. Qualifications · Bachelor’s or master’s in computer science, Engineering, or related field. · Certifications in testing or security are a plus (e.g., ISTQB, OWASP).