Role Overview
We are looking for a QA Engineer to support validation of AI use cases and prototypes, ensuring correctness, consistency, and reliability of outputs during experimentation and early-stage solutioning.

Key Responsibilities
•Validate AI/ML and LLM outputs against expected behaviors and use-case requirements
•Design test scenarios for edge cases, prompt variations, and data inputs
•Support evaluation of model performance and output quality
•Work with engineers to identify inconsistencies and improve solution robustness
•Contribute to defining evaluation metrics and validation approaches
•Document findings to support solution refinement and decision-making

Required Skills
•Strong analytical and problem-solving ability
•Basic understanding of AI/ML and LLM concepts
•Ability to think through edge cases and scenarios
•Familiarity with Python (basic level)

Good to Have
•Exposure to LLM evaluation techniques
•Understanding of prompt engineering concepts
•Familiarity with experimentation workflows

What We’re Looking For
•Strong curiosity and critical thinking
•Ability to work with ambiguity and evolving requirements
•Attention to output quality, not just system behavior