Lead Software Engineer AI - (Materia AI) (Evergreen)

Thomson Reuters
RemotePosted 8 April 2026

Job Description

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. Collaborate Across Functions Work closely with AI/ML engineers, frontend developers, product managers, and designers to build robust services that support generative AI experiences. Help to build out our core AI interfaces such as Conversations, Workspaces, Grid, and Knowledge Base. Key Responsibilities: Backend Development & AI Integration Design and build the backend for AI-native products focused accounting research and accounting 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 the org About You: You are a fit for the position of Lead Software Engineer if your background includes: Required Experience & Skills: Bachelors Degree in Computer Science, Computer Engineering, Related Field, or Equivalent Experience 6-8 years of experience in backend development, building scalable web services and APIs. Strong Python skills, with experience in FastAPI, PostgreSQL, and AWS. Experience in distributed systems, API and data model design. Strong debugging skills and a track record of building production-grade software. Strong communication and cross-functional collaboration abilities. Passion for AI-driven software and new engineering paradigms. A creative problem solver who enjoys exploring new technologies. Dedicated to building high-quality, reliable AI-first systems. Comfortable working in a fast-paced, evolving environment. Preferred Skill ... (truncated, view full listing at source)
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