Senior Software Engineer, AI Shape the future of AI‑driven content technology while leading cutting‑edge innovation. 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.

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.
- Collaborate with senior engineers and data scientists to understand AI/ML system architecture and 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.
- 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.
- 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 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.

Qualifications - 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.

Benefits - Hybrid Work Model:



Flexible hybrid environment (2‑3 days a week in the office depending on the role).

- Flexibility & Work‑Life Balance: Flexible work arrangements, including up to 8 weeks per year working from anywhere.
- Career Development and Growth: Continuous learning programs and skills‑first approach.
- Industry‑Competitive Benefits: 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: Commitment to inclusion, belonging, flexibility, and work‑life balance.
- Social Impact: Two paid volunteer days off annually and opportunities to contribute to pro‑bono consulting projects and ESG initiatives.
- Real‑World Impact: Contribution to justice, truth, and transparency worldwide.

Compensation For Ontario, Canada, the base compensation range for this role is $100,000 CAD – $145,000 CAD. Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.

This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.

Equal Employment Opportunity Thomson Reuters is an Equal Employment Chance Employer. We seek talented, qualified employees in all our operations around the world, regardless of race, color, sex/gender, pregnancy, gender identity, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

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