QA Tester (Manual & AI-Assisted)
listed today
Nirdisha removes a role 90 days after it was listed.
- Sector
- IT services
- City
- Bengaluru
- Area
- Koramangala and Outer Ring Road
- Experience
- 1 to 3 years
- Role family
- QA and Testing
- Employment type
- FullTime
- Salary
- Not disclosed
- Posted
- 6 Sept 2026 · today
- Last checked
- 7 Sept 2026
About the role
Job Overview
We are looking for a forward-thinking QA Tester who combines traditional manual testing skills with modern AI-driven QA practices. In this role, you will leverage generative AI tools to accelerate test case creation, analyze requirements, and generate synthetic test data, while applying human critical thinking to conduct deep exploratory testing, validate edge cases, and ensure product quality.
Key Responsibilities
AI-Powered Test Planning: Utilize generative AI tools (e.g., ChatGPT, Claude, Jira AI extensions) to draft initial test cases, identify requirement gaps, and build complex synthetic test datasets.
Exploratory & Functional Testing: Perform deep exploratory testing, usability evaluations, and edge-case validations that require human intuition and user empathy.
Defect Discovery & AI Triage: Identify, log, and track software bugs. Leverage AI tools to perform root-cause analysis, cluster similar issues, and write clear, reproducible steps for developers.
API & Database Validation: Validate REST APIs using tools like Postman and execute basic SQL queries to verify backend data integrity.
Verification & Audit: Review AI-generated test cases for accuracy, hallucinations, and coverage gaps, ensuring test suites align with actual business requirements.
Agile Collaboration: Participate in sprint ceremonies, providing feedback on acceptance criteria and sprint risks.
Required Skills & Qualifications
Education: Bachelor’s degree in CS, IT, or equivalent practical QA experience.
Experience: 2–5 years of hands-on experience testing web and mobile platforms.
AI Tool Proficiency: Experience using LLMs and AI QA extensions (e.g., prompt engineering for test generation, test data creation, or requirement analysis).
Manual Testing Core: Strong grasp of SDLC, STLC, test design techniques, and exploratory testing methodologies.
Tooling: Proficiency with bug-tracking and test management platforms (e.g., Jira, TestRail, or Jira AI plugins).
Technical Skills: Basic SQL skills (SELECT, JOINs) and API testing experience (Postman/Swagger).
Critical Thinking: Ability to evaluate AI outputs critically, identifying missing edge cases or logical flaws.
Preferred Qualifications (Bonus)
Exposure to AI-driven test automation platforms or visual testing tools (e.g., Applitools, testRigor).
ISTQB certification or certifications in AI-assisted software testing.