Principal Software Engineer - AI

Skip to main content Go to homepage Menu Saved Jobs (0) EN Filter Languages English English Canadian Français Canadian French View all jobs Search Jobs Find jobs for Location Radius miles 5 miles 15 miles 25 miles 35 miles 50 miles Search Principal Software Engineer - AI Bengaluru, India Apply now Save job Posted 07/20/2026 Job reference 14153 Experience level Experienced Hire Job category Engineering & Technology Line of business Banking 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. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.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. Skills and Competencies14+ years of experience in system architecture and technical leadership, with a proven ability to design and scale enterprise-grade AI and distributed systems.Deep expertise in Python (3.11+), LangChain, LangGraph, FastAPI, and asynchronous programming, with hands‑on experience building production AI/LLM applications.Strong architectural understanding of multi-agent systems, workflow orchestration, LLM integration, event-driven architectures, and microservices.Experience developing LLM-powered decisioning systems, reinforcement-learning‑informed context engineering, and prompt optimization pipelines (e.g., DSPy).Proficiency in designing multi-tenant architectures, high-performance APIs, and robust state management with PostgreSQL.Knowledge of financial workflows, lending operations, and agentic AI patterns (preferred).EducationBachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline—or equivalent professional experience.ResponsibilitiesArchitect and implement multi-agent orchestration systems using LangGraph and LangChain to power intelligent lending workflows.Build advanced context engineering solutions leveraging reinforcement learning to enable adaptive, historically informed decision-making.Design LLM-driven workflow planning and execution engines, including prompt-engineering frameworks, function-calling patterns, and model‑optimization pipelines.Create scalable backend services using FastAPI with streaming (SSE/WebSocket) and ensure secure, isolated multi-tenant environments.Lead system-level design across distributed microservices, event-driven systems, Model Context Protocol (MCP) servers, and database schema evolution.Implement LLM observability, latency optimization, and model‑efficiency enhancements using tools such as Langfuse and DSPy.Develop AI agents dedicated to key lending functions and integrate real-time chat and streaming interfaces with frontend teams.Oversee migration pipelines, artifact storage design, checkpointing, and persistent state management via PostgreSQL.Collaborate cross-functionally with data architects, backend engineers,...