Description

You will focus on QE processes and automation execution within a DBA fleet, specializing in Generative AI implementations.

Responsibilities

• Develop test strategies and plans specifically for Generative AI solutions.
• Design and execute test cases to validate functionality, performance, and reliability.
• Build and maintain automated test scripts and frameworks to increase testing efficiency.
• Identify, document, and track defects, issues, and risks related to AI implementations.
• Collaborate with developers and program managers to prioritize and resolve technical issues.

Required Skills

• 8+ years of experience in Quality Engineering.
• Hands-on experience with prompt engineering and integrating LLM automation tests into CI/CD pipelines.
• Proven experience developing automation frameworks for Large Language Models.
• Strong programming proficiency in Python or Java.
• Experience with Selenium, JUnit, TestNG, and Gherkin.
• Knowledge of Natural Language Processing (NLP) concepts and techniques.
• Familiarity with CI/CD pipelines and version control systems such as Jenkins and Git.
• Experience using JMeter for testing.
• BS degree in Computer Science, Engineering, or a related field.

Key Skills

Education

BS degree in Computer Science, Engineering,