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 general 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.

About the Role

You will own end-to-end AI systems—from backend services and APIs to LLM-driven workflows in production.

Key qualifications:
- Strong hands‑on Python backend experience (FastAPI/Flask, APIs, distributed systems).
- Exposure to TypeScript or modern frontend frameworks (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.
- Hybrid role; interview may include onsite interactions.

Key Responsibilities

Backend Development & AI Integration




- Design and build the backend for AI‑native products focused on accounting research and workflows such as tax filing, tax advisory, and audit.
- Develop and maintain backend services using Python, FastAPI, and PostgreSQL.
- Implement AI orchestration systems integrating LLMs from OpenAI, Anthropic, and other providers.
- Design APIs and backend logic for real‑time AI interactions.

Performance & Scalability
- Ensure backend systems are secure, scalable, and optimized for AI‑driven applications.
- Monitor and enhance system performance across millions of documents and AI‑driven interactions.

Collaboration & Leadership
- Lead teams of engineers, AI researchers, and product teams to translate AI capabilities into real‑world applications, owning large projects or workstreams.
- Foster a culture of experimentation and continuous improvement, exploring new AI technologies and methodologies.
- Assist in hiring and mentorship across

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