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Assoc Programmer Analyst-MAI

Moody's · On-site · Full-time · Gurugram, Haryana, India

Posted (2d ago)

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Employer posted
First seen here
Repost check
Same job ID since we first saw it on Nov 4, 2026. If Moody's reposts it, we keep the original posting date.
Level
Mid-level
Work setup
On-site
Tech mentioned
Python, C#, GCP, Azure
Moody's hiring
10 roles posted in the last 30 days

Job description

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.

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Moody's job ID: 15846

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