Lead Software Engineer AI - (Materia AI)

Thomson Reuters is a global leader in providing trusted content and technology solutions. As a Lead Software Engineer, you will develop AI-powered systems to enhance accounting workflows, collaborating with multidisciplinary teams to build scalable, intelligent solutions.

Responsibilities:

• 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
• 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
• 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

Requirements:

• 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
• Experience with AI-driven systems, agent-based architectures, or AI APIs from providers like OpenAI and Anthropic
• Knowledge of vector databases, embeddings, or search-based AI
• Strong opinions on backend testing strategies and automation