Senior Software Engineer, Thomson Reuters
Artificial Intelligence
CA$100-145k
Plus Employee Stock Purchase Plan
2-3 days a week in office
Financial news and financial data provider
Be an early applicant
Financial news and financial data provider
1001+ employees
Be an early applicant
CA$100-145k
Plus Employee Stock Purchase Plan
2-3 days a week in office
1001+ employees
Company mission
To help professionals advance their businesses and gain competitive advantage with the trusted answers only we can provide.
Role
Who you are
- 5+ years in applied ML/AI (or 3+ with an advanced degree) delivering production systems in document AI/OCR/NLP or information extraction at scale
- Strong Python and deep learning expertise (PyTorch/TensorFlow), with experience in LLMs, embeddings/vector search, prompt design/evaluation, and statistical methods for quality and uncertainty
- Cloud‑native ML ops experience: training/inference pipelines, feature/data stores, observability, cost/perf optimization
- Document AI background: layout parsing, table extraction, doc‑type classification, native‑PDF matching, and verification automation
- Agentic/LLM orchestration experience: familiarity with TR AI platforms such as Materia and Additive; retrieval‑augmented and tool‑use patterns; evaluation and guardrails
- Modern Development Practices: Hands-on with modern AI coding assistants including Claude Code, Cline, and GitHub Copilot for rapid prototyping, code generation, and workflow automation
- Version control: Experience with version control (Git), testing frameworks (pytest or similar), and modern DevOps practices
- Software Engineering: Familiarity with C#, Java or any other programming language
- Domain familiarity: exposure to tax/financial document workflows or other regulated content systems is a plus
- You've built end‑to‑end AI features that are running in production, not just prototypes
- You can take a vague tax/business requirement and turn it into a concrete, testable workflow design
- You care about robustness and correctness as much as cleverness—especially in domains where errors have financial or compliance impact
- You're comfortable reading tax/business rules and working with domain experts, even if you're not a tax specialist yourself
What the job involves
- We're looking for a Senior AI Engineer to build and scale intelligent workflows using modern LLM/ML tooling
- Your work will directly impact how tax professionals automate complex, high‑stakes processes and access critical information
- You'll join our Tax and Accounting Professionals 1040 Scan product engineering team and own the design, implementation, and optimization of AI‑powered tax workflows—from data ingestion to production deployment
- 1040SCAN is the market-leading scan-and-populate engine in the 1040 workflow, organizing workpapers, extracting data, and exporting to tax software at scale
- As a Senior AI engineer, you will modernize the AI that powers document understanding, extraction, and verification—expanding coverage and accuracy while reducing human effort
- Advance document intelligence: Build generalizable models for tax documents (standard and non‑standard) using CV/NLP/LLMs and embeddings to move beyond fixed OCR templates with dynamic, context‑aware parsing
- Boost auto‑verification & quality: Improve native‑PDF/text‑layer matching, anomaly detection, and prior‑year‑aware checks to catch issues before human review; design human‑in‑the‑loop flows that preserve practitioner control
- Scale the pipeline: Productionize low‑latency training/inference pipelines over millions of documents with robust observability, evaluation, and drift monitoring
- Integrate LLMs and traditional ML models into robust, auditable workflows that support tax determination, document processing, and rules‑based automation
- Build and maintain data pipelines, feature extraction, and preprocessing for tax‑relevant data (e.g., invoices, filings, transactional data)
- Develop and integrate RESTful APIs / microservices to expose AI capabilities to internal and external systems
- Ensure solutions meet compliance, security, and auditability requirements typical of tax and regulated domains
- You’ll collaborate across SurePrep engineering and other Thomson Reuters product & engineering teams leveraging TR’s AI platforms including Materia and Additive to deliver reliable, auditable AI in production
Our take
Thomson Reuters is reinventing the way professionals work. The multinational media conglomerate provides answers that help professionals make better decisions to run smarter businesses. It targets those in complicated sectors that move society forward; tax, law, compliance, government, and media.
Founded over 165 years ago, the company is now powered by thousands of international journalists. This bandwidth guarantees speed, impartiality, and insight that have helped Thomson Reuters retain its position a market leader. To stay competitive with companies founded in the digital era, Thomson Reuters places emphasis on helping clients reinvent themselves for the newly disruptive digital age.
As well as investing in the coverage of growth markets India and China, and embarking on a number of fintech acquisitions, Thomson Reuters announced an expansion of its long-term partnership with the London Stock Exchange Group in 2023. Together, they plan to enhance the value of financial and market news services to LSEG customers, whilst delivering a superior experience to professionals around the world.
Freddie
Company Specialist at Welcome to the Jungle
Insights
4% employee growth in 12 months
Company
Company HQ
Wellington Place, Toronto, ON
Leadership
Steve Hasker
(CEO & President)Previously served as Senior Advisor for TPG, CEO for Creative Artists Agency, Global President & Chief Operating Office for Nielsen, and as a Partner for McKinsey & Company.
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