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).