Employer description & source details
We're pioneering a new role focused exclusively on quality assurance for GenAI/Agentic systems. As our QA Automation Engineer within AI, you'll develop testing strategies, evaluation frameworks, and quality metrics specifically designed for LLM-powered applications. This role requires a unique blend of QA expertise, understanding of GenAI behaviour, and automation skills to ensure our AI features are reliable, accurate, and trustworthy. Develop and execute end-to-end automated test coverage across evaluations, APIs, UIs, and performance tests using Python. Implement testing strategies for GenAI features, including conversational AI, agentic systems, and LLM-powered workflows within your workstream. Run and maintain automated test suites for prompt testing, including regression tests designed to detect unintended changes in model behaviour. Support and maintain evaluation frameworks to measure GenAI performance across accuracy, relevance, safety, consistency, and latency. Contribute to curating high-quality test datasets and "golden examples" that represent diverse user scenarios and edge cases. Assist in adversarial testing to identify potential model hallucinations or biases, and support the integration of production alerting systems. Utilise internal tools and testing frameworks to help developers easily validate their GenAI code, and assist with user acceptance testing. Take accountability for your workstream's automated coverage , documenting testing procedures and known issues in clear, accessible formats. Solid QA or test engineering experience, with exposure to or a keen interest in AI/ML systems. Good understanding of GenAI technologies including LLMs, prompt engineering, and AI application patterns. Solid experience with test automation frameworks and scripting
Extracted skills: python, artificial intelligence, security