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)

Valuable-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).

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr. Quality Analyst (Automation & Manual) (Kolkata)
🏢 Inxite Out
📍 Kolkata