Senior QA Engineer – Web, Mobile

3 weeks ago

Bangalore Urban, India Wadhwani Foundation Full time

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 reliability—especially 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.

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