AI QA Engineer

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it.

We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

• Basic understanding of software testing concepts, including manual, exploratory, regression, API, and integration testing methodologies
• Basic programming or scripting knowledge, preferably in Python, with familiarity in APIs, databases, JSON, version control, and defect tracking tools
• Basic understanding of AI concepts, large language models, and common AI limitations such as hallucinations, incomplete responses, and inconsistent outputs
• Interest in prompt engineering, context engineering, and the evaluation of AI-enabled products
• Ability to document defects clearly with steps to reproduce, expected results, and actual results
• Strong analytical, communication, documentation, and problem-solving skills with the ability to collaborate across engineering and product teams
• Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use

• Bachelor's degree in Computer Science, Software Engineering, or a related field

Support quality engineering efforts across an Agile team by executing software and AI product testing, documenting findings, and contributing to continuous improvement of QA processes.

• Perform manual, exploratory, regression, API, and integration testing within an Agile team environment under close guidance
• Test software features that include AI or large language model components, reviewing outputs for accuracy, relevance, completeness, consistency, and instruction-following
• Create basic test scenarios, prompts, and test data for evaluating AI behavior and identifying issues such as hallucinations, incomplete responses, and inconsistent results
• Apply basic prompt engineering and context engineering techniques during testing activities
• Use AI-assisted tools such as Codex, Claude Code, and similar AI command-line interface tools under the guidance of senior team members
• Assist with existing AI evaluation harnesses, test scripts, and regression checks to support quality validation efforts
• Document defects with clear steps to reproduce, expected results, and actual results, and collaborate with engineers, developers, and product owners to investigate and resolve issues
• Contribute to test documentation, reusable test cases, and the continuous improvement of quality assurance processes and standards

Our Quality Engineering team is responsible for building reliable, high-quality software and AI-enabled products that our clients and stakeholders depend on. By joining our team, you will be part of exciting work in software testing, AI product evaluation, and quality engineering, while contributing to a collaborative environment that values continuous learning, innovation, and responsible AI adoption. This role offers a meaningful opportunity to develop practical, hands‑on skills at the intersection of traditional quality assurance and…