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