Staff AI Product Engineer: Greenfield Backend & LLMs

Thomson Reuters; New York (NY); Hybrid; USD 127,000 - 273,000; Full time

Job summary

Thomson Reuters is looking for a Staff Software Engineer, AI Product Engineering to shape and build AI-powered software for tax and accounting professionals. This hybrid role offers New York City, Minneapolis–St. Paul, or Toronto as the hub.

You will own greenfield AI systems, design scalable backend services with Python, FastAPI, PostgreSQL, and AWS, and build AI-native apps with LLMs, agents, and real-time workflows. Mentoring and cross-team architectural influence are expected.

Qualifications

• Significant software engineering experience delivering production-grade backend systems.
• Strong hands-on Python development with modern frameworks.
• Experience designing APIs, data models, and distributed architectures.

Responsibilities

• Own greenfield AI systems from discovery to production and iteration.
• Design scalable backend services using Python, FastAPI, PostgreSQL, and AWS.
• Build AI-native applications with LLMs, agents, orchestration, and retrieval.

Skills

Python

Backend systems

Distributed architectures

AWS

LLMs

API design

Mentoring

Tools

FastAPI

PostgreSQL

Docker

Kubernetes

Job description

Thomson Reuters is looking for a Staff Software Engineer, AI Product Engineering to shape and build AI-powered software for tax and accounting professionals. This hybrid role offers New York City, Minneapolis–St. Paul, or Toronto as the hub.

You will own greenfield AI systems, design scalable backend services with Python, FastAPI, PostgreSQL, and AWS, and build AI-native apps with LLMs, agents, and real-time workflows. Mentoring and cross-team architectural influence are expected.