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Assoc Programmer Analyst-MAI

Gurugram, India

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Posted
11/04/2026
Job reference
15846
Experience level
Experienced Hire
Job category
Technology, Engineering & AI
Job sub category
Software Engineering
Line of business
Data Estate

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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