Sundayy
Software Engineer - AI
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About The Company
Moody’s is a renowned global leader in ratings and integrated risk assessment, dedicated to transforming how the world perceives and manages risk. Committed to fostering an inclusive environment, Moody’s values diversity, innovation, and collaboration, empowering employees to exchange ideas freely and think creatively. With a mission to turn today’s risks into tomorrow’s opportunities, Moody’s leverages advanced technologies, including artificial intelligence, to provide insightful, reliable, and actionable intelligence to clients worldwide. As part of its ongoing efforts to stay at the forefront of technological innovation, Moody’s is dedicated to responsible AI practices, ensuring ethical use, transparency, and continuous improvement of AI-enabled products and services.
About The Role
The Staff Software Engineer - AI at Moody’s is a pivotal role responsible for designing, developing, and leading the implementation of scalable AI platforms and intelligent applications. This role requires a highly experienced technical leader with a deep understanding of AI, cloud-native systems, and backend development. You will act as a hands-on contributor and mentor, guiding the technical direction of AI solutions from prototype to production. Your expertise will be instrumental in building enterprise-grade AI applications that leverage large language models, retrieval-augmented generation, and orchestration frameworks to deliver innovative solutions that address complex business challenges. Collaboration with cross-functional teams, including data scientists, product managers, and engineering leaders, is essential to translate strategic initiatives into practical, high-performance AI systems that support real-time and batch workloads at scale.
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Qualifications
- Bachelor’s degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience
- 8+ years of experience in software engineering with a focus on backend systems and cloud-native services
- Expert-level programming skills in Python, TypeScript, Go, or similar languages
- Deep expertise in building enterprise AI applications utilizing large language models, AI agents, retrieval-augmented generation, and prompt engineering
- Proven ability to take AI solutions from prototype to production, balancing performance, scalability, and security
- Strong knowledge of cloud platforms such as AWS, Google Cloud, or Azure, with experience using Docker, Kubernetes, and related technologies
- Experience designing APIs, distributed systems, data pipelines, and working with databases like PostgreSQL, MongoDB, Redis, and vector databases
- Ability to influence technical direction, mentor engineers, and perform code and design reviews
- Deep understanding of AI ethics, responsible AI practices, and model lifecycle management
Responsibilities
- Design, develop, and lead the delivery of scalable AI platforms and intelligent applications that incorporate emerging AI capabilities into production environments
- Act as a hands-on technical leader by designing, coding, reviewing, and debugging production systems supporting AI-powered products
- Build scalable backend services, APIs, data and inference pipelines, and platform capabilities to support real-time and batch AI workloads at enterprise scale
- Implement advanced large language model applications, including retrieval-augmented generation, prompt orchestration, and model optimization
- Make key technical decisions ensuring code maintainability, system performance, security, reliability, and cost efficiency
- Establish and promote engineering best practices through code reviews, automated testing, observability, and operational excellence
- Champion machine learning operations (MLOps) practices, including model lifecycle management, deployment pipelines, and continuous monitoring
- Collaborate with cross-functional teams to translate strategic goals into robust technical solutions
- Develop reusable frameworks, libraries, and tooling to accelerate AI development across teams
- Evaluate emerging AI technologies through prototypes and proof-of-concept builds, guiding implementation strategies and trade-offs
- Mentor and coach engineers through technical guidance, pairing, and review processes to foster professional growth and technical excellence
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Benefits
- Comprehensive health and wellness benefits
- Competitive salary and performance-based incentives
- Opportunities for professional development and continuous learning
- Inclusive and collaborative work environment
- Flexible work arrangements
- Access to cutting-edge AI tools and technologies
- Participation in innovative projects with global impact
Equal Opportunity
Moody’s is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other characteristic protected by law. We encourage applicants from all backgrounds to apply and join our mission to turn risks into opportunities through innovative AI solutions.
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