QA Engineer

We are seeking a detail-oriented and innovative QA Developer to join our team to focus on testing and validating Generative AI (Gen AI) models and chatbot solutions. The ideal candidate will have a strong background in quality assurance for AI applications, expertise in testing conversational AI systems, and a passion for ensuring robust and reliable AI solutions. Your Role and Responsibilities Test Planning and Strategy:

Develop comprehensive test plans, strategies, and cases tailored for generative AI models and chatbot applications.

Functional Testing:

Conduct end-to-end testing of chatbot workflows, including intent recognition, response accuracy, and edge-case scenarios.

Performance and Load Testing:

Test the scalability and responsiveness of chatbot solutions under varying user loads.

Automation:

Design and implement automated test scripts using tools like Selenium, Appium, or custom frameworks for chatbot interactions.

Collaboration:

Work closely with developers, architects, and UX teams to identify and resolve defects.

Issue Reporting and Resolution:

Track, analyze, and document defects using tools like Jira or Bugzilla.

Collaborate with engineering teams to ensure timely resolution of issues

Required Technical and Professional Expertise Experience:

5+ years in QA roles, with at least 1-2 years in testing AI/ML applications or conversational AI platforms.

Technical Skills:

Proficiency in QA tools like Selenium, Postman

Familiarity with NLP concepts and tools such as Rasa, Dialog flow, or Watson Assistant.

Hands-on experience with testing REST APIs and webhooks.

Programming:

Knowledge of programming/scripting languages like Python or Java for test automation.

Problem-Solving:

Strong analytical and troubleshooting skills to identify and resolve AI-specific testing challenges.

Preferred Technical and Professional Expertise

None