Senior Quality Engineer

Key Responsibilities

Validate AIgenerated responses against business requirements and acceptance criteria

Design and execute AI testing strategies prompt scenarios edge cases and adversarial tests

Evaluate NLP and LLM outputs for accuracy relevance consistency completeness and reliability

Measure response quality using defined evaluation metrics and benchmarks

Analyse data quality and identify issues impacting AI performance

Monitor model performance and user experience providing insights for continuous improvement

Develop and maintain benchmark datasets for validation and regression testing

Create and automate test scripts to improve testing efficiency and coverage

Conduct functional regression performance and usability testing for AI applications

Identify hallucinations bias toxicity and other AI risks

Support Responsible AI assessments including fairness transparency explainability and compliance reviews

Collaborate with AI engineers data scientists product teams and business stakeholders to improve model quality

Required Skills

Understanding of Generative AI NLP Machine Learning and Large Language Models LLMs

Experience in AI testing validation or quality assurance

Knowledge of prompt engineering test design and model evaluation techniques

Proficiency in Python or other scripting languages for test automation

Strong analytical and data evaluation skills

Experience with SQL Excel Power BI or similar reporting tools

Familiarity with AI quality metrics benchmarking and Responsible AI principles