Job Title : Senior AI QA Test Engineer – Agentic GenAI
We are seeking a Senior AI - QA Test Engineer with extensive experience in AI / ML Quality Engineering, specializing in Agentic GenAI systems, evaluation frameworks, observability, and reliability testing. You will ensure the quality and consistent performance of our enterprise-scale AI ecosystem across Snowflake, AWS, and Azure.
Responsibilities
- Design and implement QA strategies for LLM, RAG, and Agentic AI pipelines.
- Develop automated test suites for agentic workflows, LLM applications, APIs, and vector-search systems.
- Validate retrieval workflows, reasoning behavior, grounding quality, and reduce hallucination tendencies.
- Build evaluation pipelines with robust metrics and regression frameworks (covering grounding, hallucination risks, and retrieval evaluation).
- Implement AI observability : telemetry, drift monitoring, quality dashboards.
- Integrate automated testing into CI / CD workflows.
- Establish enterprise QA best practices for AI governance and reliability.
Required Qualifications
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.Strong communication and collaboration skills.