Senior Quality Assurance Manager

1 day ago


Malappuram, India beBeeAIValidator Full time

Job Title: Lead QA – Automated TestingThe role of Lead QA & AI Validator is a crucial position that demands expertise in Python automation, Large Language Model (LLM) evaluation, RAG pipelines, observability, adversarial testing, and Azure monitoring.This senior quality assurance position will lead initiatives for cutting-edge Generative AI and Multi-Agent Systems. Our team requires strong leadership skills to execute LLM evaluation frameworks using LLM-as-a-Judge (G-Eval, custom evaluators), design and implement AI-driven validation frameworks, and lead cross-functional teams to drive automation excellence.Design and implement advanced validation frameworks using G-Eval and custom evaluators for AI-driven systemsHallucination detection, faithfulness, relevance, precision/recall metrics for AI outputsImplement and integrate LLM-based evaluation pipelines using RAGAS or similar platformsBuild automated frameworks using PyTest and DeepEval for robust testing and validationIntegrate test automation into CI/CD pipelines using GitHub Actions and DevOps practicesKey Skills:Test Automation: Python, PyTest, DeepEval, automation frameworksLLM Evaluation: G-Eval, Custom Evaluators, LLM-as-a-Judge, AI-driven validationRAG Evaluation: RAGAS, Retrieval Metrics, AI-based evaluationEvaluation Metrics: Hallucination, Faithfulness, Relevance, Precision/RecallObservability & Monitoring: LangFuse, LangSmith, real-time monitoringCI/CD: GitHub Actions, DevOps practices, continuous integrationMulti-Agent Testing: Reasoning & Tool Validation, AI-driven testingAdversarial/Red Team Testing: Prompt Injection, Jailbreak, Bias/ToxicityAPI Testing: REST & Async Workflows, API validationAzure Monitoring: App Insights, Log Analytics, cloud-based monitoringAutomated Scoring System Design: GenAI Outputs, AI-driven scoringJoin us on this exciting journey to push the boundaries of AI-driven automation and multi-agent testing.



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