Lead AI QA Engineer

Join our India Tech Hub – Be among the first hires!  Kobie, a 35-year veteran of the loyalty industry, a multi-year Forrester Leader, and USA Top Workplace is expanding its global footprint by establishing a Tech Hub in India. Kobie partners with global brands to build deep connections with their customers through personalized, data-driven loyalty experiences and has a mission of growing enterprise value through loyalty. The Tech Hub will serve as a Global Capabilities Center for a broad range of technology roles, and this is your chance to play a pivotal role in shaping our presence in India. Join us as we continue to lead in loyalty, delivering innovative customer experiences for some of the world’s most recognized brands while working alongside some of the best and brightest in loyalty.  About the team and what we will build together  We’re looking for an Lead AI QA Engineer with 6+ years of experience who thrives on designing test strategies and evaluation harnesses for production-grade, agentic AI systems in addition to experience in ETL. You have strong Python skills, hands-on experience testing LLM-powered features (prompt regression, tool/function-call validation, RAG correctness, and structured-output schema checks), and working knowledge of evaluation frameworks such as RAGAS, DeepEval, LangSmith or Langfuse. You are comfortable writing solid SQL, automating tests with PyTest, exercising APIs through Postman or REST clients, and shipping test pipelines using Git, Docker and CI tooling like Jenkins or GitHub Actions.  Kobie runs some of the largest loyalty programs in the world. We are building an internal agent platform on Dataiku that automates analyst workflows, surfaces insights from program data in Snowflake, and gives our teams an LLM-native way to work with complex loyalty logic. As an Lead AI QA Engineer on the India Tech Hub team, you will play a key role in protecting that platform — designing golden datasets, running LLM-as-judge and regression suites, and owning the quality bar for what goes to production. This is not a manual-only role: you will automate, build qa & automation strategies, roadmaps, instrument, monitor and partner closely with our U.S. AI & Innovation team and cross-functional partners across Engineering, Data, AI and Product.