Thomson Reuters is looking to develop AI-powered systems that enhance accounting workflows through automation, intelligence, and seamless orchestration.
Requirements
- 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.
- 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.
- Experience in building scalable web services and APIs.
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
- Work closely with AI researchers, engineers, and product teams to translate AI capabilities into real-world applications.
Other
- Bachelors Degree in Computer Science, Computer Engineering, Related Field, or Equivalent Experience
- 4+ years of experience in backend development, building scalable web services and APIs.
- Strong communication and cross-functional collaboration abilities.
- Passion for AI-driven software and new engineering paradigms.
- Dedicated to building high-quality, reliable AI-first systems.
