Staff Software Engineer

Skills and Competencies

• 7+ years of software engineering experience with 5+ years in Data Engineering, including advanced Python expertise for building scalable, production-grade solutions
• Proven experience designing and optimizing Retrieval-Augmented Generation (RAG) pipelines, hybrid search strategies, vector databases, embedding models, and evaluation frameworks
• Strong knowledge of large-scale data engineering, including ETL/ELT development, batch and streaming pipelines, distributed computing frameworks, and workflow orchestration tools such as Airflow, Prefect, or Dagster
• Hands-on experience integrating REST/GraphQL APIs, implementing caching solutions, and applying data privacy, security, and access-control best practices
• Proficiency with modern AI frameworks and libraries including LangChain, LangGraph, Pandas, NumPy, Polars, and Pydantic
• Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency
• Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use

Education

Responsibilities

• Design, develop, and maintain scalable data engineering solutions that support AI-driven products and services
• Architect and optimize advanced retrieval systems, including RAG pipelines, vector search platforms, and embedding strategies
• Develop and manage large-scale batch and streaming data pipelines while ensuring data quality, reliability, and performance
• Establish retrieval evaluation frameworks and continuously improve search relevance, latency, and operational efficiency
• Integrate external data sources and APIs, leveraging caching and performance optimization techniques where appropriate
• Champion best practices in data engineering, AI solution development, security, documentation, and stakeholder communication
• About the Team The Asset Management Technology team within Moody’s Analytics develops innovative software, advanced analytics, and AI-driven solutions that support investment decision-making in the Structured Finance domain. Working within a global, cross-functional environment, the team leverages modern technologies to build scalable, future-ready products that help clients manage risk and identify opportunities in evolving financial markets.
• Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws.
• Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary. For more information on the Securities Trading Program, please refer to the Securities Trading Policy on Moody’s Compliance Expo page Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.