Artificial Intelligence QA ⭐ Featured

• AI QA
• Generative AI Testing
• Large Language Models
• NLP Testing
• NLU Testing
• Python
• Test Automation
• CI CD
• Jenkins
• AWS
• Vector Databases
• RAG Evaluation
• Prompt Engineering
• Machine Learning Validation

The Artificial Intelligence QA role focuses on validating the quality, reliability, and performance of AI-driven and generative AI applications. The position involves designing and executing advanced testing strategies for large language models, agentic AI systems, and NLP-based solutions, including functional, performance, bias, and ethical testing. You will build scalable test automation frameworks, integrate quality gates into CI/CD pipelines, and collaborate closely with engineering, product, and operations teams to resolve defects and improve testing practices. The role also includes governance of AI quality standards, evaluation of model behavior in production, and continuous improvement of testing methodologies across enterprise-scale cloud environments.