Required Skills & Experience
-5+ years of experience in QA / Quality Engineering.
-2+ years testing AI systems including LLM apps, RAG pipelines, and agentic workflows.
-Python proficiency for automation, test harnesses, and evaluation development.
-Experience testing data/AI pipelines in Snowflake and at least one major cloud (AWS/Azure).
-Experience with distributed systems, API testing, and CI/CD.
-Solid communication and collaboration skills.
Job Description
We are seeking a Senior AI QA Test Engineer with deep expertise in AI/ML quality engineering and hands-on experience testing enterprise-grade Agentic Gen AI systems. This role focuses on ensuring the performance, reliability, and safety of our AI ecosystem across Snowflake, AWS, and Azure. The engineer will design and implement quality assurance strategies for LLM, RAG, and agentic AI pipelines; develop automated test suites for agent workflows, LLM applications, APIs, and vector-search systems; and validate retrieval workflows, grounding, reasoning patterns, and hallucination reduction.



The role also involves building robust evaluation pipelines with metrics and regression frameworks, implementing AI observability including telemetry and drift monitoring, integrating automated testing into CI/CD processes, and defining enterprise-level QA best practices for AI governance and system reliability.
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting proc

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