QA with Generative AI

Key Responsibilities:

•Collaborate as part of a DBA fleet, focusing on QE processes with a strong emphasis on automation execution using various tools and techniques.

•Develop test strategies and plans for Generative AI implementations.

•Design and execute test cases to validate the functionality, performance, and reliability of Generative AI solutions.

•Work with stakeholders to identify testing requirements and priorities.

•Identify and document defects, issues, and risks related to Generative AI implementations.

•Collaborate closely with developers and program managers to prioritize and resolve issues promptly.

•Develop and maintain automated test scripts and frameworks for efficient and effective testing.

•Drive continuous improvement and best practices in testing methodologies and processes for Generative AI implementations.

•Stay updated on new testing approaches, tools, and strategies.

Required Skills:

•8+ years of proven work experience in Quality Engineering.

•Experience integrating LLM automation tests into CI/CD pipelines and hands-on experience in prompt engineering concepts.

•Proven experience in developing and implementing automation frameworks for Large Language Models.

•Strong programming skills in languages such as Python, Java, or similar.

•Experience with popular testing tools and frameworks (e.g., Selenium, JUnit, TestNG).

•Knowledge of Natural Language Processing (NLP) concepts and techniques.

•Familiarity with CI/CD pipelines and version control systems (e.g., Jenkins, Git).

•Strong problem-solving and analytical skills.

•Experience with automation technologies, including Selenium, JUnit, Gherkin, JMeter, and scripting languages such as Java.

Educational Qualification:

•Minimum BS degree in Computer Science, Engineering, or a related field.

Join our team and contribute to the development of cutting-edge AI solutions