Quality Assurance Engineer - Generative AI Models

<p></p><p><b>Responsibilities :</b></p><br/><p>- Design, develop, and execute comprehensive test plans for Generative AI models (text, image, audio, etc.).</p><br/><p>- Evaluate AI-generated content for quality, safety, bias, coherence, factual accuracy, and relevance.</p><br/><p>- Develop automated and manual testing pipelines for LLM and GenAI model outputs.</p><br/><p>- Identify and report issues related to hallucinations, bias, toxicity, data leakage, and ethical compliance.</p><br/><p>- Collaborate with engineering and research teams to define quality metrics and improve model performance.</p><br/><p>- Create synthetic and edge-case data scenarios to stress-test models.</p><br/><p>- Work on prompt engineering and adversarial prompt testing.</p><br/><p>- Continuously monitor model behavior after deployment to catch regressions or new issues.</p><br/><p>- Help define and maintain QA processes and best practices for AI/ML systems.</p><br/><p></p> (ref:hirist.tech)