Software Engineer, AI Platforms and Products

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About the Role:The New AI Products and Platforms mission is a central hub for new, high-ambition AI opportunities and services at The Times. We are hiring a Software Engineer to help build the backend services and infrastructure that will form our internal AI Platform.This platform will enable teams across the company to build, deploy, and manage applications that use large language models (LLMs) to advance our journalism and our business. You will report to the Director of AI Platforms and work with a team of engineers, designers, product and project managers, data scientists, and newsroom stakeholders to make investments in AI possible across The Times.This is a hybrid position based in our New York City headquarters. You can typically expect to come into the office two days per week.Responsibilities:Design, build, and maintain scalable and reliable backend services and APIs for a central platform used by teams building AI applications across our journalism and our businessContribute to and help maintain core platform components and integrations, including systems for prompt and workflow management, evaluation and tracing, and monitoring for cost, usage, and performanceBuild and operate vector database and retrieval infrastructure to support search and AI-powered discovery experiencesDesign and develop retrieval-augmented generation (RAG) pipelines and agentic workflows that connect our content, data, and AI modelsBuild orchestration layers for multi-step AI workflows, managing the coordination of LLM calls, retrieval, and business logicDevelop the infrastructure that enables teams to create and manage their AI applications, complete with metadata, observability, and access controlsImplement data pipelines and storage solutions to support our AI systemsWrite high-quality, maintainable, and well-tested code, primarily in backend languages like Python or GoEnsure a high degree of code quality, security, and system observabilityCollaborate with editorial, product, ML, and data teams to translate requirements into platform capabilitiesParticipate in code review, reading teammates' code and providing feedbackContribute to robust testing strategies to ensure service reliabilityShare knowledge with teammates through documentation, design discussions, and pairingDemonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the worldBasic Qualifications:2+ years of software engineering experience, with a focus on backend development.2+ years of experience in one or more backend programming languages such as Python or Go.Experience building and operating APIs and services in a production environment.Exposure to building applications with Large Language Models (LLMs), or familiarity with the surrounding ecosystem (e.g., orchestration, retrieval-augmented generation).Preferred Qualifications:Experience with MLOps, including building systems for model and prompt evaluation, tracing, and monitoringExperience with vector databases and embedding models or servicesExperience with information retrieval or search systemsExperience building RAG systems or agentic AI workflowsExperience with prompt engineering and prompt management systemsFamiliarity with containerization and orchestration technologies like Docker and KubernetesExperience with infrastructure as code (e.g., Terraform, CloudFormation)Experience with cloud computing platforms like GCP or AWS and their associated services (e.g., Cloud Functions, S3, RDS)Experience with event-driven architectures and technologies such as Kafka or Pub/SubFamiliarity with LLM orchestration and agentic frameworksExperience with GraphQLExperience designing distributed systems at scale#LI-HybridREQ-020494The annual base pay range for this role is between:$110,000—$130,000 USDCandidate Use of GenAI Tools:We’re excited to learn more about you and your experience. To keep our hiring process as fair and authentic as possible, we ask that you submit your own work and not use GenAI tools to generate substantive content during the application and interview process.If you’re an engineering candidate, we’ll let you know what specific GenAI tools you are permitted to use for your technical assessment.The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here. The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email View email address on click.appcast.io. 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