Senior Software Engineer, AI

Thomson Reuters•Toronto, ON

5d•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 Senior Software Engineer 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. About the Role In this opportunity as Senior Software Engineer, AI you will perform the following responsibilities Design and develop AI/ML-powered features and capabilities from concept to production Implement machine learning models, algorithms, and data pipelines Build and optimize neural networks, deep learning models, and other AI architectures Develop APIs and services that integrate AI/ML capabilities into existing systems Write clean, maintainable, and well-documented code following best practices Collaborate with data scientists to productionize research models and prototypes Architect scalable AI/ML infrastructure and deployment pipelines Conduct code reviews and mentor junior developers on AI/ML best practices Stay current with emerging AI/ML technologies and recommend adoption strategies Participate in technical design discussions and architectural decisions 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.

Requirements

4+ years of software engineering experience with 3+ years focused on AI/ML development
Proven track record of shipping AI/ML features to production environments
Experience with model training, validation, and deployment at scale
Background in developing real-time and batch ML inference systems
Strong understanding of machine learning algorithms and statistical methods
Experience with GenAI, NLP, Information Retrieval, recommendation systems, or other AI domains
Knowledge of model optimization techniques and performance tuning
Understanding of data privacy, security, and ethical AI considerations

Responsibilities

Design and develop AI/ML-powered features and capabilities from concept to production
Implement machine learning models, algorithms, and data pipelines
Build and optimize neural networks, deep learning models, and other AI architectures
Develop APIs and services that integrate AI/ML capabilities into existing systems
Write clean, maintainable, and well-documented code following best practices
Collaborate with data scientists to productionize research models and prototypes
Architect scalable AI/ML infrastructure and deployment pipelines
Conduct code reviews and mentor junior developers on AI/ML best practices
Stay current with emerging AI/ML technologies and recommend adoption strategies
Participate in technical design discussions and architectural decisions
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.