Lead Software Engineer AI - (Materia AI)
Company: Thomson Reuters
Location: New York, NY
Type: Full-time
Posted: 2026-06-19
About this role
This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.
Lead Software Engineer - AI (Materia AI)
Are you excited about building AI-driven software that redefines how professionals work? Join a dynamic and highly skilled team at 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.
- -Must have strong hands-on Python backend experience (FastAPI/Flask, APIs, distributed systems).
- -Exposure to TypeScript/modern frontend frameworks is helpful, but not required.
- -Proven experience in system design and architecture, building scalable, production-grade systems.
- -Strong emphasis on Python, backend engineering, and real-world AI applications.
- -This is a hybrid role, and the interview process may include onsite interactions.
About The Role
In this role as a Lead Software Engineer, you will:
Innovate in a Startup-Like Environment
Be part of a fast-moving, forward-thinking group that is creating AI-driven software for accounting professionals. You’ll work with top AI and software development experts, leveraging cutting-edge technology to build intelligent and scalable systems. This role is for the CoCounsel for Tax and Accounting team, formed from the recent acquisition of the startup Materia.
Build AI-Driven Systems
Design and implement backend services that power generative AI agents and orchestration systems. This role requires both creativity and rigor to ensure our AI-driven solutions are performant, reliable, and adaptable to real-world use cases.
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