QA Engineer

Introduction
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