At least 4 years of experience in software quality assurance, with a focus on AI solutions..
Must have hands-on:
Deep understanding of LLM behavior including hallucinations, bias, edge-case handling
Experience prompt engineering to design adversarial and robustness test cases
Conduct photo validation and recognition tests to ensure accuracy in AI-driven quality audits.
Able to integrate LLM-focused test suites into CI/CD pipelines (Azure DevOps, GitHub Actions)
Experience in LLM test case generation , RAG evaluation, and use of guardrails for secure, explainable testing
Strong background in data pipeline testing , ensuring input/output integrity of training and retrieval systems
Expertise in managing test data , generating synthetic data, and auditing data coverage
Document defects clearly and support triage with engineering teams
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Quality Assurance and TestingRole: Quality Assurance and Testing - OtherEmployement Type: Full time