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Popular QA title, mid-senior experience band, metro hiring, and broad automation plus GenAI skillset.
Specialized LLM/RAG testing and AI evaluation skills limit transferability across industries.
Explicit 8–10 years requirement and multiple mandatory automation and LLM testing skills.
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Lead and elevate quality engineering practices for enterprise and AI-powered platforms, focusing on GenAI/LLM output validation, RAG pipeline testing, and AI system safety and reliability.
Design and maintain scalable test automation frameworks spanning web, API, and AI testing, integrating with CI/CD pipelines and shift-left quality practices.
Own quality strategy, test planning, risk-based prioritization, defect management, and mentoring within Agile teams to ensure robust AI system validation and compliance.
8-10 years of quality engineering experience including test automation and AI/GenAI system testing.
Proven hands-on experience with LLM testing, prompt regression, hallucination detection, and responsible AI evaluation.
Strong skills in test automation tools (Selenium, Playwright), API testing (REST, GraphQL, gRPC), Python scripting, and CI/CD pipeline integration.
Experience testing cloud-native microservices architectures and embedding quality gates in CI/CD; no explicit mention of required certifications or notice period.
Senior-level QE with deep domain expertise in AI/GenAI testing, familiar with LLM evaluation frameworks like RAGAS, TruLens, or LangSmith.
Strategic quality leader with experience designing test strategies for complex, distributed AI and microservices systems in Agile environments.
Experienced collaborator capable of managing cross-functional teams, facilitating risk-based test planning, and mentoring junior engineers on QE best practices in regulated or AI governance-critical sectors.