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The New York Times

Software Engineer, AI Platforms and Products

New York, NYFrom $130kmidAdded today

About this role

The New York Times is seeking a Software Engineer to build backend services and infrastructure for an internal AI Platform that enables teams across the organization to develop and deploy LLM-powered applications for journalism and business use. You'll work on scalable APIs, vector databases, RAG pipelines, and AI workflow orchestration in a hybrid role based in New York City.

What you'll do

  • Design and maintain scalable backend services and APIs for an internal AI platform used across journalism and business teams
  • Build and operate vector database and retrieval infrastructure for AI-powered search and discovery
  • Develop RAG pipelines and agentic workflows that integrate content, data, and LLM models
  • Create orchestration layers for multi-step AI workflows coordinating LLM calls and business logic
  • Implement monitoring, evaluation, and observability systems for cost, usage, and performance tracking
  • Collaborate with editorial, product, ML, and data teams to translate requirements into platform capabilities

What they're looking for

  • Backend development (Python or Go)
  • API design and development
  • Large Language Models (LLMs) and ecosystem knowledge
  • Vector databases and embedding models
  • Retrieval-augmented generation (RAG)
  • Data pipeline and storage design
  • Production system reliability and security
  • Code review and testing strategies
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The New York Times

The New York Times builds digital platforms and products that deliver journalism through web, mobile, and multimedia experiences, supported by modern backend systems and AI-enhanced tools. The company is hiring software engineers, QA engineers, and full-stack developers to work across content management, audio/video features, AI-driven reader experiences, and internal developer tooling.

Website
nytimes.com
View all jobs at The New York Times

Likely interview questions

  • Describe your experience building production APIs and services—what scale did you operate at and what challenges did you face?
  • Walk us through a project where you worked with LLMs or the surrounding ecosystem; what did you build and what did you learn?
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