Staff AI Platform Engineer (Greenfield)

Thomson Reuters

New York (NY)

Hybrid

USD 127,000 - 237,000

Full time

6 days ago
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Benefits offered by this job

Hybrid work model
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Job summary

Thomson Reuters is seeking a Staff Software Engineer, AI Product Engineering, to lead greenfield AI systems and production-grade backend services. You’ll own architecture, implement critical components, and guide engineers from prototype to production in a hybrid role based in New York City, Minneapolis–St.

Paul, or Toronto. Key focus areas include building scalable AI-native applications, integrating OpenAI/Anthropic models, and designing robust APIs and data models.

Qualifications

  • ,

Responsibilities

  • Own greenfield and 0→1 AI systems from discovery to production.
  • Design and build production backend services using Python, FastAPI, PostgreSQL, and AWS.
  • Develop AI-native applications with LLMs, agents, orchestration, retrieval, and real-time workflows.
  • Integrate models from OpenAI, Anthropic, and other foundation-model platforms.
  • Design scalable APIs, data models, and distributed services for high-volume AI apps.
  • Provide technical leadership and mentor engineers across teams.

Skills

Python
FastAPI
APIs
Distributed systems
Code review
Mentoring
Architectural design
Debugging
LLM/AI

Tools

Docker
Kubernetes
AWS
PostgreSQL
CI/CD
FastAPI

Job description

Thomson Reuters is seeking a Staff Software Engineer, AI Product Engineering, to lead greenfield AI systems and production-grade backend services. You’ll own architecture, implement critical components, and guide engineers from prototype to production in a hybrid role based in New York City, Minneapolis–St.

Paul, or Toronto. Key focus areas include building scalable AI-native applications, integrating OpenAI/Anthropic models, and designing robust APIs and data models.

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