Senior Software Engineer
Listed on 2026-09-04
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Software Development
AI Engineer (Applied/Software), Backend Developer, Machine Learning/ ML 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.
Employment eligibility to work in the U.S. is required, as Moody’s will not pursue visa sponsorship for this position.
Skills and Competencies- 5+ years of software engineering experience designing, coding, testing, and operating production-grade backend services and cloud-native applications
- Strong coding proficiency in Type Script, Python, C#, or similar technologies, with experience building scalable application programming interfaces, microservices, and distributed systems
- Practical experience building enterprise AI applications using large language models, including agents, retrieval augmented generation, orchestration frameworks, and model optimization
- Demonstrated ability to own services, components, or features end to end, from technical design through production deployment and ongoing operation with limited supervision
- Hands-on experience with cloud-native technologies, serverless applications, event-driven architectures, data pipelines, relational and No
SQL databases, vector databases, observability tooling, and automated deployment pipelines - Solid understanding of algorithms, data structures, scalability, reliability, performance optimization, security best practices, and engineering trade-offs
- Experience mentoring engineers through code review, pairing, debugging, documentation, and the promotion of engineering excellence through testing and continuous improvement practices
- Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use.
- Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent professional experience
- Design, code, test, and operate backend services, application programming interfaces, data pipelines, and inference pipelines that support real-time and batch AI workloads
- Own the delivery of assigned features and components end to end, from technical design through deployment, monitoring, production support, and continuous improvement
- Build and enhance large language model application features using retrieval augmented generation, orchestration frameworks, evaluation methods, agentic workflows, and tool integration
- Contribute to technical designs, participate in design reviews, and identify risks, constraints, trade-offs, and alternative approaches
- Maintain engineering excellence through automated testing, code reviews, observability, monitoring, alerting, operational readiness, and participation in on-call support
- Apply machine learning operations practices, including prompt versioning, automated evaluation, deployment pipelines, monitoring, and production issue resolution
- Partner closely with product managers, data scientists, machine learning engineers, and fellow engineers to translate requirements into reliable software solutions
- Mentor engineers, contribute to shared frameworks and developer tooling, document system designs and operational runbooks, and promote responsible AI practices across delivered features
Our Digital Content and Innovation (DC&I) team is responsible for building and deploying intelligent, AI-powered solutions that drive innovation across Moody's products and platforms. We accelerate the development of next-generation analytical tools, enable smarter…
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