QA Automation Engineer

1 day ago

Ahmedabad, Gujarat, India Infocusp innovations Full time
About the Role

We are seeking an experienced QA Automation Engineer to strengthen our quality assurance team for our AI-driven conversational platform. The ideal candidate should have a strong foundation in software testing principles, hands-on experience with automation frameworks, and a keen interest in testing NLP or AI-based applications.

Key Responsibilities
  • Design, develop, and maintain automated test scripts using tools such as Playwright, Selenium, or Appium.
  • Develop automation strategies for testing AI-driven chat interfaces, APIs, and NLP model integrations.
  • Conduct functional, regression, integration, usability, and performance testing of AI-based web applications.
  • Validate conversational flows, API responses, and ensure accuracy, consistency, and contextual relevance of AI responses.
  • Work closely with developers, ML engineers, and product managers to understand feature behavior and ensure comprehensive test coverage.
  • Integrate automated tests with CI/CD pipelines (e.g., Jenkins, GitHub Actions, GitLab CI).
  • Identify, isolate, and report defects with detailed logs, screenshots, and test data.
  • Create and maintain test data sets for conversational and contextual validation scenarios.
  • Analyze automation results and provide insights for continuous product quality improvement.
  • Mentor and guide junior QA engineers to strengthen automation and testing best practices.
  • Stay current with AI/NLP testing methodologies, automation tools, and emerging QA practices.
  • Follow secure development, testing, and deployment guidelines to ensure data integrity and compliance.
Requirements
  • Bachelor's degree in Computer Science, Information Technology, or equivalent experience.
  • 3+ years of experience in QA automation for web or SaaS platforms.
  • Strong proficiency in Python, Java, or JavaScript for test automation.
  • Proficiency in API testing using Postman, RestAssured, or similar tools.
  • Familiarity with testing AI or NLP-based systems is a strong plus.
  • Solid understanding of SDLC, STLC, Agile/Scrum methodologies.
  • Experience with Git, JIRA, and CI/CD integration.
  • Strong analytical and problem-solving skills with attention to edge cases and response accuracy.
  • Experience in writing MySQL/SQL queries for validation and data-driven testing.
  • Excellent communication and collaboration skills for working in cross-functional teams.
  • Strong attention to detail and quality-driven mindset.
Preferred Skills
  • Exposure to testing AI model APIs, prompt-response evaluation, or conversational workflows.
  • Familiarity with performance testing tools (JMeter) and monitoring AI performance metrics (latency, response relevance).
  • Knowledge of cloud environments (AWS, Azure, or GCP).

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