Quality Engineer- AI Platform Testing

As a Quality Engineer for AI Platform Testing, your role involves contributing to the testing processes of AI-based applications and platforms. You will be responsible for creating and maintaining comprehensive test cases, developing automated test frameworks, and performing various types of testing to ensure software quality. Your collaboration with development and product teams is crucial to achieve testing coverage at all stages of development. Additionally, your expertise in tools like RAGA'S, DeepEval, Lang chain, Postman, VS Code, Cucumber, and Node.js will be valuable for enhancing test automation pipelines. Key Responsibilities: - Create and maintain comprehensive test cases for web applications - Develop and execute smoke, functional, regression, and integration testing processes - Design, create, and maintain automated test frameworks using tools like RAGA'S, DeepEval, Lang chain, Postman, VS Code, Cucumber, and Node.js - Collaborate closely with development and product teams to ensure testing coverage - Identify, record, document, and track bugs - Perform load and performance testing using tools like JMeter - Manage testing processes using GitHub, JIRA, and other DevOps tools - Contribute to continuous integration/continuous deployment (CI/CD) practices - Work with cloud technologies, particularly AWS, to manage testing environments Qualifications Required: - 6+ years of relevant work experience in software testing, automation, and test framework development - Proficiency in Python, JavaScript, TypeScript, Postman, VS Code, Cucumber, and Node.js - Experience in Model [LLM's] evaluation testing and analyzing model performance - Strong understanding of backend testing with exposure to LLM's using Swagger, Postman tools - Experience with Kubernetes for log checking and model evaluation frameworks like RAGA'S, DeepEval, Lang chain - Familiarity with various testing techniques, quality standards, and regulations - Understanding of version control systems like GitHub and project management tools like JIRA - Experience in Agile/Scrum development environments - Detail-oriented with excellent problem-solving skills Preferred Qualifications: - Familiarity with CI/CD pipelines using Github actions - Knowledge of machine learning and open-source AI models, Test automation using pytest - Experience testing applications hosted in multiple geographical locations - Familiarity with cloud technologies, especially AWS,