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Jobs in Canada

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Added 7 mins ago
Senior Machine Learning Engineer
Encore Technical Solutions Inc.
Toronto, ON · Greater Toronto Area, Canada
Full-time
Full-stack experience integrating agents into user-facing apps
Added 7 mins ago
Python Developer
Pinnacle Talent Placement
Toronto, ON
Contract
Added 53 mins ago
Security Engineer/SRE - AEM/Adobe
Capgemini
Toronto, ON
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and…
Added 1 hour ago
Embedded Software Engineer
Actalent
Ottawa, ON
$50 to $70 CAD / hour
Contract
This Expert-level role offers full-stack ownership of the Vehicle Information Manager (VIM), the real-time CAN data broker at the core of a modern embedded Linux platform for connected…
Added 2 hours ago
Senior Full Stack Engineer : Toronto, ON : Hybrid : FTE
AceStack
Toronto, ON
Full-time
We are seeking a Senior Full Stack Engineer with strong hands-on experience in Java, Spring Boot, REST APIs, microservices, unit testing, and software engineering best practices. The ideal…
Added 5 hours ago
Cloud Platform - Senior Engineer
Emplo Inc.
Ottawa, ON
Full-time
…high-performing individuals that can learn and contribute to these full software stack solutions to fulfill the strict requirements of edge computing use cases from security to high…
Added 7 hours ago
Embedded Software Engineer
Actalent
Ottawa, ON
Contract
This Expert-level role offers full-stack ownership of the Vehicle Information Manager (VIM), the real-time CAN data broker at the core of a modern embedded Linux platform for connected…
Added 7 hours ago
Senior Full Stack Engineer
Workstream
Vancouver, BC
…workforce in their communities. We are seeking a talented Software Engineer (Full Stack) to join our growing engineering…
Added 7 hours ago
Senior Systems Engineer - Edge Integration & Sensor Fusion
Invision AI
Remote, Canada
Full-time · Remote
We are looking for a Senior Systems Engineer for a hands-on role: integrating our sensor systems on Linux edge computers, implementing LiDAR and camera signal processing, owning device…
Added 9 hours ago
Senior Engineer
Xero
Remote, Canada
Full-time · Remote
Enhancing the developer experience through the maturation of CI/CD concepts, tooling, and TDD practices.
Added 13 hours ago
Backend Engineer, Client Portal
EvenUp
Remote, Canada
$152,660 to $214,475 USD / year
Full-time · Remote
Actively engage in the full project lifecycle across the stack, with full ownership from conception to deployment and iteration.
Added 14 hours ago
Senior Technical Support Engineer
Sentry
Remote, Canada
$125,000 to $150,000 USD / year
Full-time · Remote
You’re a Full-Stack Troubleshooter: You enjoy jumping from a React frontend issue to a Python backend trace to a CI/CD pipeline failure in a single afternoon
Added 15 hours ago
Senior Software Engineer II, Full Stack - Growth (Hybrid)
Homebase
Toronto, ON
$175,000 to $205,000 USD / year
Full-time
We’re looking for a Full Stack Senior Software Engineer 2 who’s passionate about building AI-powered, high-velocity systems that transform how our Growth, Sales, and Product teams operate.…
Added 15 hours ago
Full Stack Engineer
TRANSREACH TALENT LLC
Vancouver, BC
Full-time
Looking for Full Stack Engineer excited to work with Exciting High Growth Startup
Added 16 hours ago
Software Engineer
Royal Bank of Canada
Toronto, ON
Full-time
You will be a full stack developer on a team focused on web applications that support internal and external RBC users. This role supports the modernization and enhancement of enterprise…
Added 17 hours ago
Full Stack Developer
Lasso Informatics
Montreal, QC
Full-time
Minimum 7 years as a full stack developer or software engineer
Added 17 hours ago
Senior Full Stack Engineer (React / NestJS / Azure)
Resonaite
Markham, ON
Contract
Our client is seeking a contract based Senior Full Stack Engineer focused on bujilding APIs and modern web applications using React, NestJS, and Azure cloud services.
Added 17 hours ago
Senior SailPoint IIQ Engineer
Cognizant
Brampton, ON
Full-time
We are seeking a Lead SailPoint IdentityIQ Engineer with strong expertise in Identity Governance and Administration (IGA), SailPoint IdentityIQ implementation, and IAM operations. This role…
Added 17 hours ago
Software Engineer
RBC
Toronto, ON
Full-time
You will be a full stack developer on a team focused on web applications that support internal and external RBC users. This role supports the modernization and enhancement of enterprise…
Added 17 hours ago
Senior AI Engineer - Evisort AI
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
Familiarity with full-stack development - building web UIs (e.g., React, TypeScript) and backend services/REST APIs in Python (e.g., FastAPI, Django)
Added 17 hours ago
Agentic AI Lead Engineer - Vice President
Citi
Mississauga, ON
Full-time
Architect and build full-stack AI platform components using Python and Angular, including internal large language model fine-tuning interfaces and experiment tracking dashboards.
Added 17 hours ago
Software Engineer
Infotree Global Solutions
Canada
Contract
Full Stack development of production ready services and features
Added 17 hours ago
Sr Ai/Agentic Engineer
Dawn Recruiting Agency
Toronto, ON
$80 to $90 CAD / hour
Full-time
…required. Strong AWS and Kafka, Claude Code, harness/coding agents, Full Stack (NodeJS, React,…
Added 18 hours ago
Data Engineer
Mycionics Inc.
Kitchener, ON
Full-time
Web Development: Familiarity with full-stack web frameworks for potential future cloud-hosted dashboard development.
Added 18 hours ago
AI & Computer Vision Engineer
Mycionics Inc.
Kitchener, ON
Full-time
…write code; we design, prototype, fabricate, and industrialize full robotic systems - spanning mechanical, electrical, firmware, software, AI/ML, and data analytics - and deploy them…

Workday

Senior AI Engineer - Evisort AI

Vancouver, BC, Canada
Canada, BC, Vancouver, Canada

Pay: Primary Location: CAN.BC.VancouverPrimary CAN Base Pay Range: $169,000 - $253,000 CADAdditional CAN Location(s) Base Pay Range: $169,000 - $253,000 CAD
Job type: Full-time
Posting language: English
Posted: Sep 30, 2026

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Original job description

Your work days are brighter here.

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

About the Team

Join the Evisort AI team at Workday, which powers Document Intelligence AI and Workday's CLM and Contract Intelligence offerings. Our mission is to change the way business deals get done. We build ground breaking AI technology that can read and understand contract language to make every part of the deal-making process from drafting, negotiating, reviewing, approving, or managing the contracts happen faster, better, with reduced risks. We build AI first products, and automate manual work, freeing up our customers time and accelerating their businesses. You will be joining the Evisort AI team, which functions as a startup within Workday. This is your opportunity to build at the pace of innovation of a startup, while backed by the enormous support and impacting Workday's incredible customer base of 70M+ users.

About the Role

As an AI Engineer, you will help develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis. You will collaborate with other engineers to deliver AI solutions across Workday's product ecosystem and utilize software and data engineering stacks to enable training, deployment, and lifecycle management of various AI pipelines. You will develop and deploy new products at scale and leverage Workday's vast computing resources on rich datasets to deliver transformative value to our customers.

In addition to contributing to feature and service development, you must have an approach of continuous improvement, passion for quality, scale, and security. You must be curious and prepared to question or challenge choices and practices where they don't make sense to you or could be improved. You also should have a product approach and strong intuition around how AI can drive a better customer experience. Lastly, a strong sense of ownership and teamwork are essential to succeed in this role.

About You

Basic Qualifications

8+ years of professional software engineering experience, with a heavy emphasis on backend architecture, distributed systems, and a proven track record of shipping high-availability production code at scale. Strong fundamental software engineering skills (system design, scalability, and performance optimization) are a non-negotiable primary qualification for this role.
3+ years of experience integrating AI capabilities (LLMs, Foundation Models) into enterprise products, framed within the context of robust software service extensions.
1-2+ years building with AI orchestration frameworks (e.g., LangChain, LlamaIndex) with a focus on creating predictable, reliable, and maintainable agentic workflows.
4+ years of proven experience leveraging cloud computing platforms (e.g., AWS, GCP, Azure) to deploy highly responsive, scalable systems.
2+ years of hands-on experience deploying and operating services in containerized, cloud-native environments (Docker, Kubernetes), with exposure to infrastructure-as-code and GitOps tooling (e.g., Terraform, Helm, ArgoCD).

Other Qualifications

Bachelor’s degree (Master’s preferred) in Computer Science, Software Engineering, or equivalent technical field.
Product-First AI Mindset: Deep focus on business value, user experience, and applying deep learning or large models directly to solve practical end-user challenges.
System Design & Reusability: Proven ability to architect robust application layers that wrap around AI models, establishing reusable patterns for system predictability, error handling, and seamless UX integration.
Experimentation & Evaluation: Skilled in rapid prototyping, benchmarking model outputs against product requirements, and setting up automated evaluation metrics (e.g., assessing retrieval quality and agentic behavior).
Hands-on experience with production observability and monitoring tooling (e.g., Prometheus/Grafana, OpenTelemetry, Sentry, Datadog) to debug, trace, and measure live systems
Experience using feature-flag/experimentation platforms (e.g., LaunchDarkly) to safely roll out, A/B test, and decommission changes, including flag lifecycle and cleanup discipline
Familiarity with data persistence and async processing - relational databases and schema migrations (e.g., PostgreSQL), caching (e.g., Redis), and message/queue or task workflows (e.g., Celery, Kafka, SQS)
A track record of writing well-tested, maintainable production code with attention to code quality, security scanning, and dependency hygiene (e.g., unit/integration tests, SonarQube, dependency tooling)
Familiarity with full-stack development - building web UIs (e.g., React, TypeScript) and backend services/REST APIs in Python (e.g., FastAPI, Django)
Technical Leadership & Mentorship: Proven track record of technically leading engineering workstreams, taking ownership of the development lifecycle, and mentoring junior-to-mid level engineers.
Collaborative Communication: Excellent interpersonal skills, with a knack for bridging the gap between product management, design, and foundational ML infrastructure teams.
Thrives in Ambiguity: Highly autonomous builder capable of taking open-ended product goals and breaking them down into concrete, scalable engineering realities.

Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here.

Primary Location: CAN.BC.VancouverPrimary CAN Base Pay Range: $169,000 - $253,000 CADAdditional CAN Location(s) Base Pay Range: $169,000 - $253,000 CAD

Our Approach to Flexible Work

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.

Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.

If you require a reasonable accommodation, you may email accommodations@workday.com, as far in advance as possible.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

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More about this job

Responsibilities

You will develop tailored AI user experiences using LLMs, Knowledge Graphs, and predictive analysis while managing the lifecycle of AI pipelines. You will also collaborate with cross-functional teams to deliver scalable, high-availability AI solutions across the product ecosystem.

Requirements

Candidates must have 8+ years of professional software engineering experience with a focus on backend architecture and distributed systems. Additionally, 3+ years of experience integrating AI capabilities into enterprise products and proficiency in cloud-native environments are required.

Skills

Software engineering
Backend architecture
Distributed systems
LLMs
Foundation models
LangChain
LlamaIndex
Cloud computing
Docker
Kubernetes
Terraform
Python
System design
Scalability
Data engineering
Technical leadership

Benefits

Bonus plan
Stock grants
Flexible work
Health benefits

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
LLM
Knowledge Graphs
Predictive Analysis
Backend Architecture
Distributed Systems
Cloud Computing
AWS
GCP
Azure
Docker
Kubernetes
Terraform
Helm
ArgoCD
Python
FastAPI
Django
React
TypeScript
PostgreSQL
Redis
Kafka
Prometheus
Grafana
OpenTelemetry
SonarQube
LaunchDarkly
Document Intelligence
Contract Intelligence

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