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.
Robust 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 GenAI 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.

📌 Ai Qa Engineer Telangana
🏢 Insight Global Technologies
📍 Telangana