QA Engineer with AI testing

Job Description Must Have Technical/Functional Skills Primary Skill: Test AI applications, RAG systems, agents, APIs and Data Pipeline using automated development framework Experience: Minimum 8 years Roles & Responsibilities Need a strong QA person who relevant experience in testing AI applications, RAG systems, agents, APIs and Data Pipeline using an automated development framework. The candidate should have experience in designing end-to-end test plans for generative AI, LLMs, and machine learning models.) Bachelor’s or master’s degree in computer science or related field. Key Responsibilities · Lead Strategy: Design end-to-end test plans for generative AI, LLMs, and machine learning models. · Model Validation: Test models for accuracy, drift, latency, robustness, and security vulnerabilities. · Automation: Build advanced test automation frameworks using Python, PyTest, and specialized AI testing tools. · Data Quality: Validate training, validation, and test datasets for bias, leakage, and data integrity. · Performance Testing: Evaluate system scalability and response times under heavy concurrent loads. · Team Leadership: Mentor junior engineers and collaborate with data scientists and software developers. · Certifications in Automation