Application Tester

Web Application Test Engineer – AI-based Application (3 Years Experience)

Location: Vegam Solutions

Experience: 3+ Years

Job Type: Full-time

About the Role

We are looking for a detail-oriented and proactive Web Application Test Engineer with 3 years of experience in testing web-based applications. This role involves working on an advanced AI-driven conversational platform, similar to ChatGPT, which integrates a dynamic knowledge base and a responsive user interface.

You will collaborate closely with developers, AI/ML engineers to ensure the application meets high standards of performance, usability, reliability, and accuracy.

Key Responsibilities

• Design, develop, and execute comprehensive test plans and test cases for web-based AI applications.
• Conduct UI/UX testing to ensure user interactions are smooth, intuitive, and error-free.
• Test interactions with the knowledge base and validate AI-generated responses for accuracy, context, and relevance.
• Perform functional, regression, integration, and exploratory testing on various modules.
• Validate RESTful APIs used for front-end and back-end integration.
• Identify, report, and track bugs using tools like JIRA or Azure DevOps.
• Work with AI/ML teams to test prompt-response consistency, fallback handling, and edge-case scenarios.
• Ensure application behavior across various browsers, screen sizes, and platforms.
• Automate repetitive tests using Selenium/WebDriver, Cypress, or other tools.
• Collaborate with the dev team in Agile/Scrum ceremonies, including sprint planning, reviews, and retrospectives.

Key Skills Required

• Manual and Automation Testing of web applications
• Strong understanding of software QA methodologies and best practices
• Experience testing AI-driven applications or NLP-based systems (preferred)
• Familiarity with Knowledge Base structures or FAQ systems
• Proficient in tools such as:

- Selenium, Python, Cypress, or equivalent automation tools

- Postman for API testing

- JIRA, TestRail, or similar test management tools

• Exposure to browser dev tools, console logs, and debugging UI issues
• Basic knowledge of HTML, CSS, and JavaScript for UI-related validations
• Understanding of AI model behavior, chatbot workflows, and prompt engineering basics (a plus)

Good to Have

• Experience testing AI-generated outputs for accuracy, tone, bias, or hallucinations
• Familiarity with CI/CD pipelines and integration with testing workflows
• Exposure to performance testing tools like JMeter or LoadRunner
• Knowledge of accessibility standards (WCAG) and testing tools like Axe

Educational Qualifications

Bachelor’s degree in Computer Science, Information Technology, or a related field

Why Join Us?

• Work at the intersection of cutting-edge AI and user-facing applications
• Collaborate with cross-functional, dynamic teams
• Opportunity to grow into AI QA specialization
• Flexible work culture and learning environment