Software Engineer - AI and Azure

Responsibilities

• Develop and maintain AI workflows using tools like GitHub CoPilot and LLM platforms (Claude, Azure OpenAI) in conjunction with Microsoft Azure services
• Design and deploy services on Azure, including App Services, Functions, Storage, and API Management
• Work closely with business and technical partners to translate requirements into data, software, and AI solutions
• Experiment with new AI tools, frameworks, and technologies to improve agent-based capabilities
• Troubleshoot and resolve issues in data pipelines and AI workflows to deliver stable, production-ready solutions
• Contribute to CI/CD pipelines and manage source code using GitHub and Azure DevOps
• Support mentorship and knowledge sharing regarding agent-based AI and data engineering best practices

Requirements

• 3 to 6 years of experience as a full stack developer, including TypeScript or JavaScript and strong Python programming skills
• Hands-on experience integrating LLMs (Claude, OpenAI, CoPilot) with practical knowledge of RAG, embeddings, and vector databases
• Proficiency with cloud platforms, specifically Microsoft Azure and Microsoft Fabric
• Experience with or strong interest in agentic AI workflows and familiarity with LangChain or Copilot Studio
• Familiarity with Git, CI/CD pipelines, SDLC processes, and Agile methodologies
• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field
• Strong analytical, problem-solving, and communication skills

About the Company

Moody's is a global leader in ratings and integrated risk assessment. We are transforming how the world sees risk by advancing AI to move from insight to action. Our Corporate Systems team supports Moody’s core business and technology operations by driving operational excellence and advancing innovation through the adoption of AI-driven capabilities.