Quality Assurance Test Engineer - Automation Testing

<p><b>Description :</b><br/><br/><b>Location :</b> Remote<br/><br/><b>Job Type :</b> Full-Time<br/><br/><b>Experience :</b> Minimum 6+ months<br/><br/><b>About Us :</b><br/><br/><b>PGAGI Consultancy Pvt.

Ltd.</b> is an innovation-driven company working at the intersection of AI, automation, and digital transformation.

We are building intelligent, scalable, and reliable solutions to empower businesses globally.

We are looking for a Quality Assurance (QA)/Testing Engineer with expertise in automated testing across front-end, back-end, and AI/LLM systems.<br/><br/><b>Why Join Us ?</b><br/><br/>Remote Work : Work from anywhere with flexible hours.<br/><br/>Innovative Projects : Get hands-on experience in AI, automation, and performance testing.<br/><br/>Growth Opportunities : Learn from industry experts and expand your technical skillset.<br/><br/>Competitive Compensation : Salary aligned with experience and expertise.<br/><br/><b>Key Responsibilities :</b><br/><br/><b>Front-End Testing :</b><br/><br/>- Develop and maintain automated test scripts using Selenium, Cypress, or Playwright.<br/><br/>- Ensure cross-browser compatibility and perform visual regression testing.<br/><br/>- Validate UI components by interacting with HTML, CSS, and JavaScript elements.<br/><br/>- Collaborate with developers to improve testability and automation efficiency.<br/><br/><b>Back-End Testing :</b><br/><br/>- Implement automated API testing with pytest, unittest, Robot Framework, and Requests library.<br/><br/>- Perform integration testing between front-end and back-end using mocking and stubbing.<br/><br/>- Verify database integrity and manage test data across layers.<br/><br/>- Debug issues using network monitoring tools and Python debugging utilities.<br/><br/><b>LLM Testing & Performance Evaluation :</b><br/><br/>- Conduct prompt testing, response validation, and output format verification.<br/><br/>- Automate AI response evaluation frameworks and perform statistical output analysis.<br/><br/>- Optimize token usage, latency, and performance in AI-driven applications.<br/><br/><b>Test Management & CI/CD Integration :</b><br/><br/>- Execute and manage tests across Cypress and Python frameworks.<br/><br/>- Implement parallel execution and failed test retries.<br/><br/>- Integrate automated tests into CI/CD pipelines, leveraging Docker for consistent environments.<br/><br/>- Generate test reports and documentation for stakeholders.<br/><br/><b>Requirements : </b><br/><br/><b>Front-End Testing :</b><br/><br/>- Strong proficiency in JavaScript (ES6+).<br/><br/>- Hands-on experience with Selenium, Cypress, or Playwright.<br/><br/>- Solid knowledge of HTML, CSS, and browser debugging tools.<br/><br/>- Experience with Git for version control.<br/><br/>- Strong analytical and communication skills.<br/><br/><b>Back-End Testing :</b><br/><br/>- Experience with Python automation frameworks (pytest, unittest, Robot Framework).<br/><br/>- Hands-on testing of FastAPI and REST APIs.<br/><br/>- Knowledge of mocking, stubbing, and database validation.<br/><br/>- Understanding of performance testing and latency optimization.<br/><br/><b>LLM & AI Testing :</b><br/><br/>- Experience in prompt validation and consistency checks.<br/><br/>- Familiarity with AI response evaluation frameworks.<br/><br/>- Understanding of scalability, optimization, and token usage efficiency.<br/><br/><b>CI/CD & Debugging :</b><br/><br/>- Experience integrating tests in CI/CD pipelines.<br/><br/>- Knowledge of Docker and containerized environments.<br/><br/>- Proficiency with network monitoring and debugging tools.</p> (ref:hirist.tech)