Thomson Reuters is a global leader combining startup agility with extensive resources, seeking a Lead Software Engineer to develop AI-driven systems for accounting workflows. In this role, you will innovate and collaborate with cross-functional teams to design and implement backend services that enhance AI capabilities.
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