This job is with Moody's, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Skills and Competencies

- 1-2 years of software engineering experience designing, coding, testing, and deploying backend services or cloud-native applications.

- Solid coding proficiency in Python or C#, with experience building application programming interfaces and microservices and a working understanding of distributed systems concepts.

- Hands-on exposure to large language model applications, including retrieval-augmented generation, prompt engineering, or agentic workflows, with a drive to deepen that expertise.

- Working knowledge of Amazon Web Services, Google Cloud Platform, or Microsoft Azure, including experience deploying applications through automated pipelines.

- Experience with relational and NoSQL databases, including PostgreSQL, MongoDB, and Redis; familiarity with vector databases, observability tools, and event-driven patterns.

- Ability to break down well-defined problems, estimate and deliver work reliably, respond constructively to code review feedback, and collaborate effectively with product managers and engineers.

- Demonstrated proficiency in artificial intelligence concepts,



with hands-on experience using AI tools to streamline workflows and improve operational efficiency.

Education

- Bachelor’s degree in computer science, Information Systems, Engineering, or a related technical field.

Responsibilities

Designs and supports backend services and AI-powered features for intelligent data products.

- Designs, codes, and tests backend services, application programming interfaces, and data or inference pipelines for well-scoped features, with guidance from senior engineers.

- Delivers assigned tasks and features through deployment, including production monitoring, follow-up support, and resolution of technical issues.

- Participates in design and code reviews by proposing options, applying engineering standards, and flagging risks or unclear requirements early.

- Apply machine learning operations practices, including prompt versioning, automated evaluation, deployment pipelines, root cause analysis, and follow-up improvements.

About the Team

The Digital Content and Innovation team develops intelligent data products and AI-enabled capabilities. Additional team details and Moody’s contribution statements can be added before publication.

📌 Assoc Programmer Analyst-MAI (India)
🏢 Moody's
📍 India