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Added 5 months ago
Product Engineer - Growth
Liftoff
Remote, Canada
$80,000 to $150,000 CAD / year
Full-time · Remote
You'll join the Product team and work closely with the Head of Product, partnering with Growth, Creative, and Engineering as needed.
Added 1 month ago
Product Engineering - Product Engineer II
EQI
Canada
Position Title: Product Engineer Revised 2026-05-22
Added 3 months ago
Product Manager - Growth and Product Experience
Botpress
Montreal, Quebec
Full-time
We're looking for a Product Manager, Growth and Product Experience to own the journey from signup to activation, trust, and paid conversion across Botpress.
Added 1 month ago
PRODUCT ENGINEER ASSISTANT
Hoi P'loy
Engineer, BC
Full-time
PRODUCT DEVELOPMENT ENGINEER (FULL TIME, On-Site, in CAPE TOWN)
Added 1 month ago
Product Engineer - Marketplace
Firecrawl
Toronto, Ontario
Full-time
…on, this is the role. Past that, the bar is the same as any product engineer here: a very good engineer with real product sense who owns what they ship. You'll ship real product from day…
Added 1 month ago
Product Engineer - VTCA
Vuteq Canada Inc.
Woodstock, ON
$60,000 to $97,000 CAD / year
Vuteq Technical Center Americas is a Sales and Engineering service provider representing Vuteq and Diversity Vuteq manufacturing groups throughout North America. The Vuteq group of…
Added 22 days ago
Product Engineer - Agent
Firecrawl
Toronto, Ontario
Full-time
You'll build the products developers and AI agents reach for when they need to take action on the web, not just read it. This is hands-on product engineering at the core of where Firecrawl…
Added 23 days ago
AI Engineer, Product Analytics
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
Full-time
Product Analytics is building self-service tools and operating AI agents that influence product development; agents that monitor product health, surface anomalies, analyze user behavior,…
Added 1 month ago
Head-Systems Product Engineer / Ingénieur de produit II
Montreal, QC
Full-time
Are you an experienced engineer who thrives on bringing innovative products from concept to production? Join Galvion and play a key role in developing next-generation helmet and integrated…
Added 2 months ago
Product Engineer
Flex-N-Gate
Bradford West Gwillimbury, Ontario · Bradford, ON
The Product Engineer is responsible for assisting with the design, analysis, and quoting activity and testing of new products and support in production products with engineering changes or…
Added 4 months ago
AI Native Engineer, Growth Marketing
CookUnity
Toronto, Ontario
$190,000 to $220,000 CAD / year
Full-time
AI is no longer a roadmap item - it's the operating system for how modern growth teams win. We're hiring a AI Native Engineer, Growth Marketing to be the hands-on builder who embeds AI into…
Added 3 months ago
Fullstack Growth Engineer II (Hybrid)
Homebase
Toronto, Ontario
$108,000 to $128,000 CAD / year
Full-time
We’re looking for a Fullstack Growth Engineer II who thrives at the intersection of product thinking, engineering execution, and experimentation.
Added 4 months ago
Staff Product Engineer - Canada
Ashby
Remote, Canada
$256,000 to $380,000 CAD / year
Full-time · Remote
Hi 👋🏾 I’m Abhik, Ashby's Co-Founder and VP of Engineering. We’re looking for a versatile, persistent product engineer who’s not afraid to set up reusable building blocks across the stack…
Added 4 months ago
Senior Product Engineer - Canada
Ashby
Remote, Canada
$195,000 to $248,000 CAD / year
Full-time · Remote
Hi 👋🏾 I’m Abhik, Ashby's Co-Founder and VP of Engineering. We’re looking for a versatile, persistent product engineer who’s not afraid to set up reusable building blocks across the stack…
Added 1 month ago
Head of Growth & Product Marketing
RYSE
Toronto, ON
$80,000 to $90,000 CAD / year
Full-time
We develop hardware products from the ground up, working across product design, engineering, manufacturing, software, marketing, and sales.
Added 1 month ago
Head of Growth & Product Marketing
RYSE
Toronto, ON
$80,000 to $90,000 CAD / year
Full-time
We develop hardware products from the ground up, working across product design, engineering, manufacturing, software, marketing, and sales.
Added 1 month ago
Head of Growth & Product Marketing
RYSE Inc
Remote, Canada
Full-time · Remote
We develop hardware products from the ground up, working across product design, engineering, manufacturing, software, marketing, and sales.
Added 1 month ago
AI Software Engineer, Growth
Palona AI
Toronto, ON
Full-time
We are looking for an AI Full-Stack Engineer who treats growth as an engineering and product discipline. You will own web experiences, experimentation, SEO and generative-engine…
Added 1 month ago
AI Software Engineer, Growth
Palona AI
Toronto, ON
Full-time
We are looking for an AI Full-Stack Engineer who treats growth as an engineering and product discipline. You will own web experiences, experimentation, SEO and generative-engine…
Added 1 month ago
Product Engineer - Full-Stack Developer
Liftoff
Montreal, QC
$70,000 to $110,000 CAD / year
Full-time
You'll join the Product team and work closely with the Head of Product, collaborating with Engineering, Design, and Growth
Added 1 month ago
Full Stack Product Engineer
Liftoff
Montreal, QC
$70,000 to $110,000 CAD / year
Full-time
You'll join the Product team and work closely with the Head of Product, collaborating with Engineering, Design, and Growth
Added 1 month ago
Product Engineer - Full-Stack Developer
Liftoff
Montreal, QC
$70,000 to $120,000 CAD / year
Full-time
You'll join the Product team and work closely with the Head of Product, collaborating with Engineering, Design, and Growth
Added 16 days ago
Staff Software Engineer - Growth Platform
Faire
Toronto, ON · Kitchener, ON
…lead complex, cross-functional initiatives that accelerate Growth teams across multiple product areas. You’ll partner deeply with Product Engineers to translate ambiguous opportunities into…
Added 4 months ago
Staff Product Engineer, Canada
Ashby
Canada
Internship
Hi 👋🏾 I’m Abhik, Ashby's Co-Founder and VP of Engineering. We’re looking for a versatile, persistent product engineer who’s not afraid to set up reusable building blocks across the stack…
Added 4 months ago
Full Stack Product Engineer
Liftoff
Remote, Canada
$80,000 to $150,000 CAD / year
Full-time · Remote
You'll join the Product team and work closely with the Head of Product, collaborating with Engineering, Design, and Growth

Thomson Reuters

AI Engineer, Product Analytics

Toronto, ON, Canada
Canada, Toronto, Ontario, Canada

Job type: Full-time
Apply by: Oct 30, 2026
Posting language: English
Posted: Aug 28, 2026

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Original job description

Job Description

Product Analytics is building self-service tools and operating AI agents that influence product development; agents that monitor product health, surface anomalies, analyze user behavior, and produce the insights product leaders rely on. We are seeking an AI Engineer to build those agents for our Tax, Audit & Accounting product portfolio. You will take pre-trained models, LLM APIs, and analyst prototypes and turn them into tooling the team and its stakeholders can depend on, working inside the shared repositories, standards, and evaluation tooling the AI Engineering Lead owns.

Within 12 months we expect agents owning whole analytics workstreams. This role builds a meaningful share of them. The role reports to Director, Product Analytics.

Key Responsibilities

As AI Engineer, Product Analytics, you will be responsible for:

Build and Integrate AI Components: Integrate pre-trained models, LLM APIs, and tool-calling and MCP-style integrations into the team’s analytics products, with guidance from senior engineers on the more ambiguous problems.
Harden Prototypes into Production Tooling: Take an experimental notebook or a prototype and refactor it into a production-ready component with the error handling, guardrails, telemetry, and logging the team can rely on.
Build the Data Pipelines Underneath: Prepare, clean, and structure the datasets your agents reason over, and build and maintain the pipelines that feed them. Contribute to how your product’s data is modeled and exposed for LLM-based reasoning.
Build Within Shared Standards: Work inside the shared repositories, reusable components, and context and data-access standards the AI Engineering Lead owns, and register what you ship so someone with no relationship to you can find it and use it.
Evaluate Your Own Work: Apply the team’s evaluation standard and definition of done: validation sampling, source traceability, prompt and model version documentation, and testing suited to non-deterministic model behavior.
Keep Your Agents Healthy in Production: Diagnose failure and quality drift in the agents you own, conduct root cause analysis on moderately complex issues, and update context, prompts, and logic as data or business rules change.
Contribute to Proactive Intelligence Systems: Contribute to the systems that watch your product and portfolio’s health and surface what needs attention before anyone has to ask, including the natural language interfaces, semantic layers, and feedback loops that let those systems improve over time.
Work With Product and Engineering: Interpret the business, functional, and technical requirements for your area, and help translate ambiguous business needs into agent designs alongside senior engineers.
Grow Your Craft: Take part in planning, code reviews, and team ceremonies; document your components and give clear status updates. Track how AI tooling is changing and get effective with new frameworks quickly. Curiosity and momentum carry more weight here than any specific tool on your CV today.

Required Qualifications

You are a fit for the role of AI Engineer, Product Analytics if your background includes:

Required Experience and Skills:

Bachelor’s degree in Computer Science, Data Science, or a related field.
3+ years in software engineering, data engineering, data science, or analytics, with hands-on exposure to building or contributing to LLM-based agents or AI-native systems.
Demonstrated personal investment in AI: you experiment with new tools and build things on your own initiative; with work you can point to.
Proficiency in Python and strong SQL, with a solid grounding in programming concepts, design patterns, SDLC principles, and unit testing.
Exposure to multi-component AI systems: RAG pipelines, agents with multi-step reasoning, or tool-calling and MCP-style integrations. Exposure to AI-adjacent infrastructure: vector databases, embeddings, semantic search, and retrieval pipelines.
Experience refactoring experimental or research code into production-ready components following established patterns.
Familiarity with MLOps and LLMOps practices and the lifecycle of AI-powered software, including testing, evaluation, and monitoring.
Clear written and verbal communication, including the ability to explain technical concepts to non-technical stakeholders and to ask clarifying questions early.

Preferred Qualifications:

Product sense: an instinct for what a product manager will act on, and the judgment to tell a metric that changes a decision from one that only fills a dashboard. Experience in or alongside product teams, and SaaS experience, are assets.
Data science background: experiment design, statistical inference, A/B testing, or applied ML, enough to reason about whether a result is real before it reaches a stakeholder.
Hands-on experience integrating LLM APIs (e.g. Anthropic, OpenAI) into applications, including prompt and response handling and cost and safety considerations.
Exposure to hybrid and/or advanced retrieval methods, agent harness and orchestration optimization, context engineering, guardrails and observability.
Experience with a modern data stack (e.g. Snowflake, Databricks)
Cloud computing and containerization foundations (e.g. AWS, Azure, GCP, Docker).
Awareness of AI governance and compliance considerations.

Replacement: This position is open due to an existing vacancy to support our evolving business needs.

What’s in it For You?

Hybrid Work Model: We’ve adopted a flexible hybrid working environment 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.
Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role

Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.

For Ontario, Canada, the base compensation range for this role is $82,100 CAD - $132,100 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.


About Us

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.

We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, 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. More information on requesting an accommodation here.

Learn more on how to protect yourself from fraudulent job postings here.

More information about Thomson Reuters can be found on thomsonreuters.com

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More about this job

Responsibilities

The AI Engineer will build and integrate AI agents and self-service tools to monitor product health and analyze user behavior. They are responsible for hardening prototypes into production-ready components and maintaining the underlying data pipelines.

Requirements

Candidates must have a bachelor's degree in Computer Science or a related field and at least 3 years of experience in software or data engineering. Proficiency in Python and SQL is required, along with hands-on experience building LLM-based agents or AI-native systems.

Skills

Python
SQL
LLM APIs
RAG pipelines
Agent orchestration
Data engineering
MLOps
LLMOps
Vector databases
Semantic search
Prompt engineering
Data pipelines
Software engineering
Product analytics
Unit testing
Cloud computing

Benefits

Flexible vacation
Mental health days
Headspace app access
Retirement savings
Tuition reimbursement
Employee incentive programs
Volunteer days
Hybrid work model

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
Product Analytics
LLM
Python
SQL
RAG
Agents
Data Pipelines
MLOps
LLMOps
Vector Databases
Embeddings
Semantic Search
Snowflake
Databricks
AWS
Azure
GCP
Docker
SaaS
Product Development
Telemetry
Logging
Prompt Engineering
Data Modeling
Unit Testing
SDLC
AI Governance
Compliance
Analytics

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