About the Role :

We are looking for a detail-oriented and technically strong Quality Analyst - Testing & AI to join our quality engineering team. The role involves validating software applications, AI-enabled features, data-driven solutions, and end-to-end product workflows to ensure reliability, functionality, performance, and overall quality.

Key Responsibilities :

- Design, develop, and execute comprehensive test scenarios, test cases, and test scripts based on business and technical requirements.
- Perform functional, regression, integration, system, exploratory, and end-to-end testing across applications and product features.
- Identify, document, prioritize, and track defects through to resolution.
- Perform API testing to validate request/response structures, business logic, integrations, and error handling.
- Validate data transformations, data pipelines, and database consistency using SQL.
- Identify suitable test cases for automation and contribute to building and maintaining automated test suites.
- Test AI/ML and GenAI-powered features for functionality, accuracy, consistency, reliability, and usability.
- Design test scenarios for AI-driven workflows, including edge cases, ambiguous queries, and unexpected responses.




- Collaborate with cross-functional teams including data scientists and product managers.

Required Skills :

- 3 - 5 years of experience in Quality Assurance, Software Testing, or Quality Engineering.
- Solid understanding of software testing methodologies and SDLC/STLC.
- Hands-on experience with functional, regression, integration, system, and API testing.
- Good knowledge of SQL and database validation.
- Experience with API testing tools such as Postman or equivalent.
- Exposure to test automation frameworks and scripting.
- Experience working in Agile/Scrum development environments.
- Practical exposure to AI/ML or GenAI-based applications.
- Understanding of LLM-based applications and prompt-driven workflows.
- Familiarity with AI evaluation concepts such as accuracy, relevance, consistency, robustness, and hallucination detection.

Preferred Qualifications :

- Bachelor's degree in Computer Science, Engineering, Information Technology, Mathematics, Statistics, or a related discipline.
- Experience testing data-intensive, analytics, SaaS, or AI-powered products.
- Experience creating automation frameworks or reusable testing utilities.
- Exposure to performance, security, or accessibility testing would be an advantage.

📌 Quality Analyst - Testing & AI (India)
🏢 Quantium
📍 India