Software Engineer - AI

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. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 3+ years of experience in software development and support roles within the financial sector Hands-on experience building and deploying Agentic AI solutions using tools such as FastMCP and LangChain, integrated with Azure OpenAI API and other large language models; experience with retrieval-augmented generation (RAG) implementations Proficiency in Python, JavaScript, HTML, and CSS, with strong experience across both front‑end (React or Angular) and back‑end (Django, FastAPI, Flask) frameworks Ability to interpret API documentation for various platforms and develop high‑quality solutions following best practices Skilled in designing cloud‑based solutions on Microsoft Azure, with hands‑on experience in Docker containerization, GitHub Actions workflows, and Git‑based version control Proficient in SQL (PostgreSQL, MSSQL) and NoSQL (Cosmos DB) databases, including data auditing and issue resolution Understanding of secure coding practices, authentication, and data masking; familiarity with AI testing tools such as LangSmith and Langfuse, and code testing frameworks such as Pytest Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI‑related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization. Education University bachelor’s degree or equivalent