Senior Quality Assurance Specialist

2 weeks ago


mount, India beBeeArtificialIntelligence Full time

Job DescriptionWe are seeking a Lead QA – Automated Testing & AI Validation with strong expertise in Python automation, LLM evaluation, RAG pipelines, observability, adversarial testing, and Azure monitoring.Role OverviewThis role will lead quality assurance initiatives for cutting-edge Generative AI and Multi-Agent Systems. The successful candidate will design and execute LLM evaluation frameworks using G-Eval, custom evaluators, Hallucination detection, faithfulness, relevance, precision/recall.Key ResponsibilitiesLead and scale test automation initiatives with a focus on GenAI and AI systems. Design and implement RAG evaluation frameworks (RAGAS or similar). Build Python-based automation frameworks using PyTest & DeepEval. Integrate automation into CI/CD pipelines using GitHub Actions.Adversarial and Red-Team Testing:Prompt injection, Jailbreak attacks, Bias and toxicity detection. Conduct API testing for microservices (REST, async workflows). Monitor applications using Azure Application Insights & Log Analytics.Required Skills and QualificationsMandatory SkillsTest Automation – Python, PyTest, DeepEvalLLM Evaluation – G-Eval, Custom Evaluators, LLM-as-a-JudgeRAG Evaluation – RAGAS, Retrieval MetricsEvaluation Metrics – Hallucination, Faithfulness, Relevance, Precision/RecallObservability & Monitoring – LangFuse, LangSmithCI/CD – GitHub ActionsMulti-Agent Testing – Reasoning & Tool ValidationAdversarial/Red Team Testing – Prompt Injection, Jailbreak, Bias/ToxicityAPI Testing – REST & Async WorkflowsAzure Monitoring – App Insights, Log AnalyticsSynthetic & Golden Dataset ManagementAutomated Scoring System Design for GenAI Outputs],



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