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Principal Software Engineer - AI

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Onsite

Principal Software Engineer - AI

Moody's Analytics

Principal Software Engineer - AI

Skills

PythonMicroservicesPostgreSQLAINo-code AutomationsFastAPI

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

20 September 2026

What they need


Skills and Competencies

  • 14+ years of experience in system architecture and technical leadership, with proven success designing and scaling enterprise-grade AI, distributed, and cloud-native platforms
  • Deep expertise in Python, LangChain, LangGraph, FastAPI, asynchronous programming, and production deployment of LLM-powered applications
  • Strong knowledge of multi-agent architectures, workflow orchestration, microservices, event-driven systems, and high-performance API design
  • Experience building AI-driven decisioning systems, context-engineering frameworks, prompt optimization pipelines, and model observability solutions
  • Proficiency in designing secure, multi-tenant architectures, state management solutions, and scalable data platforms using PostgreSQL and related technologies
  • Demonstrated proficiency in artificial intelligence concepts, with hands-on experience implementing AI-powered solutions while promoting responsible, secure, and ethical AI adoption

Education

  • Bachelor s or Master s degree in Computer Science, Engineering, or a related technical discipline, or equivalent professional experience

Responsibilities

  • Architect and implement scalable multi-agent AI platforms supporting intelligent lending and financial workflow automation
  • Design and optimize LLM-powered orchestration, context-engineering, prompt-management, and decisioning frameworks
  • Develop secure, high-performance backend services and multi-tenant platforms using modern cloud-native technologies
  • Lead distributed systems design, workflow automation, event-driven architectures, and AI infrastructure strategy
  • Establish observability, performance optimization, governance, and operational best practices for AI systems
  • Mentor engineering teams and drive enterprise-wide architectural standards, innovation, and long-term AI strategy

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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