Senior Software Engineer, Agentic AI

Thomson Reuters•Toronto, ON

2d•CA$100,000 - CA$145,000•Hybrid

About The Position

Are you ready to shape the future of AI-driven content technology while leading cutting-edge innovation in a mission-critical role? Do you thrive in environments where your technical expertise can directly impact how the world's leading professionals access and utilize information? We are seeking a talented, self-driven and highly motivated Software Engineer, AI to join the Corporates Tax and Trade team in Toronto. In this role, you will develop scalable and innovative solutions using AI and Machine Learning on a rapidly growing line of products. You will work closely with Product Management, Technology and our Labs teams to enable our customers to build successful AI driven features and products to take their business to the next level.

Requirements

Proficiency in Python; familiarity with Java, JavaScript, or C++ is a plus
Understanding of fundamental machine learning concepts and algorithms
Basic experience with at least one ML framework (TensorFlow, PyTorch, scikit-learn)
Knowledge of version control (Git), testing, and debugging
Experience with data manipulation using pandas, NumPy, or similar libraries
Basic SQL knowledge and understanding of database concepts
Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field
Proven experience designing, building, and deploying production-grade agentic AI workflows — including multi-step reasoning, tool/API orchestration, and LLM-as-judge or eval-driven quality gates — serving real end users at scale
Coursework or projects involving machine learning, statistics, or data analysis
Understanding of software engineering principles and object-oriented programming
1+ years of professional software development experience
Professional, academic or personal projects demonstrating AI/ML implementation
Experience in software development or data science (preferred)
Experience with cloud platforms (AWS, GCP, Azure) is a plus

Responsibilities

Develop and maintain AI/ML features under the guidance of senior team members
Implement machine learning models and integrate them into software applications
Write clean, well-documented code following established coding standards
Participate in the full software development lifecycle for AI/ML projects
Assist in building data pipelines and preprocessing workflows
Support model deployment and monitoring activities
Work closely with senior engineers to understand AI/ML system architecture
Collaborate with data scientists to implement proof-of-concept models
Participate in code reviews and incorporate feedback to improve code quality
Attend team meetings and contribute to technical discussions
Document development processes and create technical specifications
Stay updated on AI/ML trends and technologies through continuous learning
Monitor and optimize model performance, latency, and resource utilization
Implement A/B testing frameworks for AI/ML features
Debug and troubleshoot complex AI/ML systems in production environments
Ensure models are robust, reliable, and perform well at scale
Write clean, well-tested, and maintainable code in Python (or other relevant languages)
Develop and integrate RESTful APIs and microservices to expose AI/ML capabilities to internal and external systems
Implement robust monitoring, logging, and alerting for AI/ML models and systems in production
Optimize model inference for speed and efficiency
Contribute to the full software development lifecycle, from requirements gathering and design to deployment, monitoring, and maintenance