Senior Software Engineer- Generative AI
Moody's CorporationAbout the role
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.
- Full-Stack Development: 4+ years of experience with Python, JavaScript, HTML, and CSS, with strong proficiency in both front-end (React, Angular) and back-end (Django, FastAPI, Flask) frameworks
- Generative AI & ML: Practical experience building and deploying AI-powered solutions (e.g., chatbots, enterprise assistants) using tools like FastMCP, Azure AI Search, LangSmith, LangChain, OpenAI API, and custom LLMs; familiar with ML frameworks, NLP techniques, and MLOps workflows
- Cloud & Architecture: Skilled in developing and deploying cloud-based solutions on AWS, Azure, and GCP, with hands-on experience in containerization (Docker), CI/CD pipelines, and version control (Git)
- Database & Data Management: Proficient in SQL (PostgreSQL, MySQL) and NoSQL (DynamoDB, Cosmos DB) databases; experienced in troubleshooting and improving data quality
- Testing & Security: Knowledge of secure coding practices, authentication, and encryption; experience with AI testing frameworks like LangSmith and Langfuse, as well as code testing frameworks like Pytest, Cypress, and Jest
- Collaboration & Leadership: Strong communicator and effective team player with experience mentoring peers, coordinating cross-functional projects, and delivering AI-powered solutions that meet business needs
- Adaptability & Problem Solving: Detail-oriented with strong analytical skills; thrives in dynamic environments and consistently delivers on time
- 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
- Bachelor's degree (or equivalent) in Computer Science, Software Engineering, or a related field
- Contribute to full-stack application development, integrating Python backends with modern front-end frameworks, and deploying solutions on AWS, Azure, and GCP
- Assist in the design and implementation of enterprise-grade Generative AI solutions, including LLM-based chatbots and domain-specific assistants aligned with business goals
- Support the development of collaborative apps on platforms like Microsoft Teams and Viva to enhance user engagement and productivity
- Work closely with product, business, operations, and design teams to align technical solutions with user needs and organizational objectives
- Write secure, reusable, and testable code; follow best practices; and participate in code reviews to maintain high-quality standards
- Provide guidance to junior developers, contribute to team discussions, and help manage GitHub repositories for project continuity
- Communicate technical concepts clearly to both technical and non-technical stakeholders, while staying updated on emerging tools and technologies
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