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. 

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. 

Central Product Group
In the Central Product Group, we foster a collaborative approach to strategy and marketing to serve our customers. Our culture and approach is anchored in iterative and innovative learning and delivery, that puts the customer at the center of everything we do. We’re here to identify new market opportunities, create a company-wide marketing strategy, and drive best practice, consistency and a coordinated approach to product strategy. Our team is made up of dedicated individuals such as marketing and business development experts, product owners and business founders, brand strategists and event professionals. We work hard to build a culture of innovation that encourages experimentation and an open mindset to problem solving.

GenAI Enablement Team under CPG (Central Product Group) is seeking an experienced Python engineer to join our team working on cutting-edge generative AI applications. 

Role/Responsibilities:
In this role, you will be responsible for developing and maintaining the backend systems that power our generative AI models and services. You will work closely with our machine learning engineers, data scientists, and product teams to build highly scalable, efficient, and reliable systems that enable our generative AI models to be deployed and served in production environments.

• Design, develop, and maintain backend systems and APIs for serving use cases that are integrated with generative AI models, including text generation, image generation, and multimodal models.
• Optimize and scale the backend infrastructure to handle high-volume traffic and ensure low-latency model inference.
• Implement caching, load balancing, and other performance optimization techniques to improve system responsiveness and efficiency.
• Collaborate with machine learning engineers and data scientists to integrate use cases into the backend systems.
• Develop and maintain monitoring, logging, and alerting systems to ensure the smooth operation of the backend services.
• Participate in code reviews, testing, and documentation efforts to maintain high code quality and ensure system reliability.
• Stay up-to-date with the latest advancements in generative AI, Python frameworks, and backend technologies, and contribute to the continuous improvement of our systems.

Qualifications:
• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• 4+ years of experience in backend development with Python, with a strong understanding of Python web frameworks (e.g., Flask, Django, FastAPI).
• Proficiency in building and deploying scalable, high-performance, and resilient backend systems.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
• Knowledge of databases (e.g., PostgreSQL, MongoDB) and caching systems (e.g., Redis, Memcached).
• Familiarity with machine learning concepts and experience working with generative AI models is a plus.
• Strong problem-solving, analytical, and debugging skills.
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.