QA Engineer - Generative AI, Support Apps

Job Description

AppleCare Digital is seeking a QA Engineer to drive platform and product testing for generative AI initiatives in customer-facing support apps, focusing on enhancing customer experience and achieving business goals.

Requirements

• Bachelor's in Computer Science, Software Engineering or similar field of study
• 3+ years of experience in QA engineering, with a focus on AI/ML systems
• Strong programming skills in Python, Java, or another relevant language
• Hands-on experience with testing frameworks like PyTest, Selenium, or JUnit
• Familiarity with ML frameworks such as TensorFlow, PyTorch, or Hugging Face
• Understanding of RESTful APIs and tools like Postman for API testing
• Knowledge of CI/CD tools like Jenkins, GitHub Actions, or GitLab
• Experience in validating Generative AI models (e.g., GPT, DALL-E)
• Knowledge of NLP, computer vision, or multimodal models
• Familiarity with synthetic data testing techniques
• Experience in verifying training data integrity and bias detection
• Familiarity with data annotation tools and quality control processes
• Experience with prompt engineering and LLMs in a hands-on capacity
• Experience leading projects and coordinating quality strategies across teams or functions

Responsibilities

• Design and implement robust testing strategies for Generative AI solutions
• Collaborate with data scientists, ML engineers, and product teams to define testing requirements and identify risks
• Develop and maintain automated test suites for AI/ML pipelines and APIs
• Validate AI generative solutions for bias, fairness, and ethical compliance
• Perform load, stress, and security testing on solutions to ensure reliability
• Audit Generative AI quality across the AppleCare Digital platform
• Troubleshoot and communicate issues effectively for timely resolution