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Job Description
Structured overview of role & requirementsAbout This Role
Owns technical testing of agent outputs including accuracy and turnaround-time impact, directly influencing KPI tracking at the programme level.
Build and maintain test suites validating agent outputs against golden-record datasets, ensuring output correctness across processes.
Conduct regression testing on agent/prompt changes to prevent accuracy drift, and provide technical evidence supporting human QA final sign-off in regulated processes.
Minimum Requirements
5+ years of QA/test engineering experience with ML/LLM output validation experience.
Experience in defining test datasets and accuracy benchmarks for document/text-processing systems.
Domain process familiarity for realistic test scenario creation is preferred but not mandatory.
Work Experience Required: 5+ years in QA/test engineering including ML/LLM validation.
Ideal Candidate Profile
Experienced in rigorous testing of machine learning-generated outputs, specifically within document or text processing.
Comfortable working in regulated environments where accuracy and compliance are critical, supporting human QA authority.
Analytical and detail-oriented with ability to design test suites that measure and prevent accuracy drift in complex systems.