Senior Software Engineer, AI

Thomson Reuters • Toronto, ON

55d • Hybrid

About The Position

This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization. Senior Software Engineer, AI 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. About the Role In this opportunity as Senior Software Engineer, AI you will perform the following responsibilities Development & Implementation 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 Collaboration & Growth 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 Performance & Optimization 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 Software Engineering Excellence: 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. Technical Foundation Programming Languages: Proficiency in Python; familiarity with Java, JavaScript, or C++ is a plus ML Basics: Understanding of fundamental machine learning concepts and algorithms Frameworks: Basic experience with at least one ML framework (TensorFlow, PyTorch, scikit-learn) Software Development: Knowledge of version control (Git), testing, and debugging Data Handling: Experience with data manipulation using pandas, NumPy, or similar libraries Databases: Basic SQL knowledge and understanding of database concepts About You You're a fit for the role of Senior Software Engineer, AI if you have the following required qualifications:

Requirements

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field
• 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
• Proficiency in Python
• 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

Nice To Haves

• Experience in software development or data science (preferred)
• Experience with cloud platforms (AWS, GCP, Azure) is a plus
• familiarity with Java, JavaScript, or C++ 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

Benefits

• Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
• Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
• Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
• Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
• Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
• Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level