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Michelin in Pune is seeking a Functional AI Tester - GenAI to join the QA team. You will design and execute end-to-end test strategies for GenAI features, focusing on reliability, safety and governance, with emphasis on Python-based automation.
You will evaluate RAG, conversational AI, and agentic components, perform ETL and data quality validation, and collaborate with AI engineers to define measurable acceptance criteria and ship high-quality AI features.
We are seeking a Quality Assurance (QA) Engineer focused on testing Generative AI (GenAI) applications with a strong emphasis on Python-based test automation, GenAI evaluation, and ETL/data quality validation. You will design and execute end-to-end test strategies that ensure our AI solutions are accurate, reliable, safe, and compliant.
You will be involved in QA for GenAI features including Retrieval-Augmented Generation (RAG), conversational AI and Agentic evaluations. The role centers on:
Systematic GenAI evaluation (qualitative and quantitative metrics)
ETL and data quality testing for the data flows that feed AI systems
Python-driven automated testing
This position is hands-on and collaborative, partnering with AI engineers, data engineers, and product teams to define measurable acceptance criteria and ship high-quality AI features.
Test strategy and planning
Python test automation
GenAI evaluation
RAG and semantic retrieval testing
API and application testing
ETL and data quality validation
Non-functional testing
Share results and insights; recommend remediation and preventive actions.
Experience
Technical skills
Quality and governance
Soft skills
Experience creating synthetic datasets to stress specific behaviors.