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About the Role

Product Analytics is developing AI agents to monitor product health, analyze user behavior, and generate insights for product leaders. This role focuses on building these agents for the Tax, Audit & Accounting product portfolio, transforming pre-trained models and LLM APIs into dependable tooling.

Responsibilities

• Integrate pre-trained models, LLM APIs, and tool-calling integrations into analytics products.
• Refactor experimental prototypes into production-ready components with error handling, guardrails, telemetry, and logging.
• Prepare, clean, and structure datasets for AI agents and build/maintain data pipelines.
• Contribute to data modeling and exposure for LLM-based reasoning.
• Work within shared repositories, reusable components, and standards defined by the AI Engineering Lead.
• Register shipped components for discoverability and reuse.
• Apply evaluation standards including validation sampling, source traceability, prompt/model version documentation, and testing for non-deterministic behavior.
• Diagnose and resolve failures and quality drift in owned agents.
• Conduct root cause analysis for moderately complex issues.
• Update context, prompts, and logic based on data or business rule changes.
• Contribute to systems that monitor product/portfolio health and proactively surface issues.
• Develop natural language interfaces, semantic layers, and feedback loops for proactive intelligence systems.
• Interpret business, functional, and technical requirements.
• Translate ambiguous business needs into agent designs.
• Participate in planning, code reviews, and team ceremonies.
• Document components and provide clear status updates.
• Track AI tooling advancements and quickly become proficient with new frameworks.

Requirements

• Bachelor’s degree in Computer Science, Data Science, or a related field.
• 3+ years in software engineering, data engineering, data science, or analytics.
• Hands-on experience building or contributing to LLM-based agents or AI-native systems.
• Demonstrated personal investment in AI through experimentation and personal projects.
• Proficiency in Python and strong SQL.
• Solid grounding in programming concepts, design patterns, SDLC principles, and unit testing.
• Exposure to multi-component AI systems (e.g., RAG pipelines, agents with multi-step reasoning, tool-calling).
• Exposure to AI-adjacent infrastructure (e.g., vector databases, embeddings, semantic search, retrieval pipelines).
• Experience refactoring experimental or research code into production-ready components.
• Familiarity with MLOps and LLMOps practices and the AI software lifecycle.
• Clear written and verbal communication skills.
• Ability to explain technical concepts to non-technical stakeholders.
• Ability to ask clarifying questions early.

Skills

• Python
• SQL
• Programming concepts
• Design patterns
• SDLC principles
• Unit testing
• LLM APIs
• RAG pipelines
• Multi-step reasoning agents
• Tool-calling integrations
• Vector databases
• Embeddings
• Semantic search
• Retrieval pipelines
• MLOps
• LLMOps
• Testing
• Evaluation
• Monitoring
• Prompt engineering
• Cost considerations
• Safety considerations
• Hybrid retrieval methods
• Agent orchestration optimization
• Context engineering
• Guardrails
• Observability
• Modern data stack (e.g., Snowflake, Databricks)
• Cloud computing (e.g., AWS, Azure, GCP)
• Containerization (e.g., Docker)
• AI governance
• Compliance

Location

• Ontario, Canada

Work Type

• Hybrid
• Full-time

Experience Level

• 3+ years of experience

Education Level

• Bachelor’s degree in Computer Science, Data Science, or a related field

Salary/Compensations

• $82,100 CAD - $132,100 CAD

Benefits

• Flexible vacation
• Two company-wide Mental Health Days off
• Access to the Headspace app
• Retirement savings
• Tuition reimbursement
• Employee incentive programs
• Resources for mental, physical, and financial wellbeing
• Annual Bonus based on enterprise and individual performance

About the Company

• Thomson Reuters informs the way forward by bringing together trusted content and technology for decision-making.
• Serves professionals in legal, tax, accounting, compliance, government, and media.
• Products combine specialized software and insights for data, intelligence, and solutions.
• Reuters is a world-leading provider of trusted journalism and news.
• Powered by 26,000 employees across more than 70 countries.
• Offers flexible work environments for contribution and professional growth.
• Committed to objectivity, accuracy, fairness, and transparency.
• Global business relying on diverse backgrounds and perspectives.
• Helps customers pursue justice, truth, and transparency.
• Upholds the rule of law, turns the wheels of commerce, catches bad actors, reports facts, and provides trusted information.

Equal Opportunity

• As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals.
• We seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law.
• Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
• We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.