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Lead Software Engineer AI (Materia AI)

Thomson Reuters
Hybrid - Multiple locations: Eagan, MN; Frisco, TX; New York, NY; Toronto, Ontario; Ann Arbor, MI
Hybrid

About this role

About the Role Lead Software Engineer AI (Materia AI) Are you excited about building AI-driven software that redefines how professionals work? Join Thomson Reuters, where we combine the agility and innovation of a startup with the stability and resources of a global leader. As a Lead Software Engineer, you will play a pivotal role in developing AI-powered systems that enhance accounting workflows through automation, intelligence, and seamless orchestration. The focus is on engineers who can own end-to-end AI systems — from backend services and APIs to LLM-driven workflows in production. What You'll Do

  • Design and build the backend for AI-native products focused on accounting research and accounting workflows such as tax filing, tax advisory, and audit.
  • Develop and maintain backend services using Python, FastAPI, and PostgreSQL.
  • Design and implement AI orchestration for generative AI agents and workflows.
  • Collaborate across functions with AI/ML engineers, frontend developers, product managers, and designers to build robust services; help build core AI interfaces such as Conversations, Workspaces, Grid, and Knowledge Base.
  • Own end-to-end AI systems ensuring performance, reliability, and adaptability to real-world use cases. What We're Looking For
  • Strong hands-on Python backend experience (FastAPI/Flask, APIs, distributed systems).
  • Proven experience in system design and architecture for scalable, production-grade systems.
  • Focus on Python, backend engineering, and real-world AI applications.
  • Exposure to TypeScript/modern frontend frameworks is helpful but not required.
  • Ability to own end-to-end AI systems, from backend services and APIs to LLM-driven workflows in production.
  • This is a hybrid role and the interview process may include onsite interactions. Nice to Have
  • Exposure to TypeScript/modern frontend frameworks is helpful, but not required.
  • Experience with AI orchestration and generative AI workflows. Compensation & Benefits
  • Salary information not disclosed in posting. Benefits and perks not listed.

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