AI Quality Assurance Specialist

2 days ago


anand, India beBeeAutomation Full time

Job Title: Lead AI Validation and Quality Assurance SpecialistWe are seeking an experienced professional to lead our quality assurance initiatives for cutting-edge Generative AI and Multi-Agent Systems.This role will involve designing and executing evaluation frameworks for Large Language Models, building Python-based automation frameworks, and integrating automation into CI/CD pipelines using GitHub Actions.The ideal candidate will have strong expertise in test automation, LLM evaluation, RAG pipelines, observability, adversarial testing, and Azure monitoring.Key Responsibilities:Design and execute LLM evaluation frameworks using G-Eval and custom evaluatorsImplement RAG evaluation frameworks (RAGAS or similar)Build Python-based automation frameworks using PyTest & DeepEvalIntegrate automation into CI/CD pipelines using GitHub ActionsDesign and validate multi-agent evaluation pipelinesPerform adversarial and red-team testingMonitor applications using Azure Application Insights & Log AnalyticsDefine automated scoring systems for GenAI outputsManage synthetic datasets and golden datasets for AI validationMandatory Skills:Test 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 ManagementBenefits:Opportunity to work with cutting-edge technologiesChance to lead quality assurance initiatives for innovative projectsProfessional development and growth opportunities



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