Wadhwani Foundation

4 days ago

Bengaluru, India wadhwani foundation Full time

About the job : Job Title : Senior QA Engineer Web, Mobile & Conversational AI Testing Location : Hybrid - Bangalore Experience Level : 4+ years Employment Type : Full Time About the Role : We are looking for a highly experienced Senior QA Engineer to lead and execute quality assurance efforts across our web, mobile, and AI-driven conversational products.You will play a critical role in ensuring our applications deliver exceptional user experiences, high performance, and reliabilityespecially in LLM-based (Large Language Model) conversational systems.Key Responsibilities : Test Planning & Strategy : - Develop and maintain comprehensive test plans and test cases for web, mobile, and conversational AI applications.- Define QA strategy for end-to-end testing of features including functional, UI/UX, performance, and regression testing.Execution & Automation :- Perform manual and automated testing for mobile (iOS/Android) and web platforms. [Selenium, Pytest, Python Scripts] - Design and maintain automated test scripts using tools like Selenium, Appium, or Playwright.- Conduct conversational flow and response accuracy testing for LLM-based chat interfaces.LLM & Conversational App Testing :- Evaluate dialogue quality, prompt-response relevance, tone, and fallback behaviors in GPT-like systems.- Test for hallucinations, safety, toxicity, and coherence in AI outputs.- Validate integrations with RAG systems, vector stores, and API workflows.Cross-Functional Collaboration :- Collaborate with product managers, developers, and AI engineers to ensure feature clarity and testability.- Provide feedback early in the development lifecycle to reduce bugs and enhance quality.Monitoring & Reporting :- Track and report bugs using tools like JIRA or Linear.- Analyze and report on test results, coverage, and quality trends.Required Qualifications :- 4+ years of experience in QA for web and mobile applications.- Hands-on experience with both manual and automation testing tools and frameworks.- Strong knowledge of QA methodologies, testing types, and software development lifecycle.- Automation testing using Pytests.- Experience testing LLM-based or NLP-powered applications (ChatGPT, Rasa or custom LLMs).- Proficient in writing SQL queries and working with Postman for API testing.- Familiarity with vector databases and conversational testing tools (Langfuse, Phoenix, etc.) is a plus.Preferred Skills :- Experience in testing AI-driven personalization, intent recognition, or multi-turn conversation logic.- Exposure to prompt engineering and evaluation frameworks for LLM outputs.- Familiarity with CI/CD pipelines and version control systems like Git.- Ability to build QA dashboards and automated quality reports (ref:hirist.tech)

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