Senior QA Engineer for AI Platform Systems(PART-TIME)
What you will be doing
● Design and implement QA strategies for new products and client projects.
● Establish scalable QA processes, standards, and documentation across the organization.
● Design manual and automated testing approaches for web applications, APIs, integrations, and AI-driven workflows.
● Build and maintain automated test suites using Python and modern testing frameworks.
● Develop comprehensive test plans, test cases, regression suites, and release validation processes.
● Validate complex workflows involving APIs, data pipelines, third-party integrations, and AI agents.
● Identify, document, prioritize, and verify defects throughout the software development lifecycle.
● Collaborate closely with software engineers to improve product quality early in development.
● Recommend improvements to engineering workflows, release readiness, and overall software reliability.
● Leverage AI and GenAI tools to improve QA efficiency, test coverage, and defect analysis.
● Establish scalable QA processes, standards, and documentation across the organization.
● Design manual and automated testing approaches for web applications, APIs, integrations, and AI-driven workflows.
● Build and maintain automated test suites using Python and modern testing frameworks.
● Develop comprehensive test plans, test cases, regression suites, and release validation processes.
● Validate complex workflows involving APIs, data pipelines, third-party integrations, and AI agents.
● Identify, document, prioritize, and verify defects throughout the software development lifecycle.
● Collaborate closely with software engineers to improve product quality early in development.
● Recommend improvements to engineering workflows, release readiness, and overall software reliability.
● Leverage AI and GenAI tools to improve QA efficiency, test coverage, and defect analysis.