Jobs in Canada

Group jobs by employerEmail me new jobs Save this search

Added 3 months ago
VD
Senior Software Engineer - Database
VAST Data
Vancouver, BC
- Full-time
VAST Data is looking for a Senior Software Engineer to join our growing team!
Added 3 months ago
E
Senior Software Engineer
Emburse
Toronto, ON
- Full-time
…engaging and interconnected set of system solutions. As an engineer, you will enhance the experiences of your customers, solve interesting challenges, and design new solutions. Emburse,…
Added 2 months ago
D
Chief Software Engineering Architect
DataStealth
Mississauga, ON
- Full-time
You're the most senior technical mind in the company - a hands-on architect who still writes code, still ships, and still de-risks the hardest problems personally. You set the technical…
Added 2 months ago
D
Senior DevOps Engineer
DataStealth
Mississauga, ON
- Full-time
We are looking for a skilled DevOps Engineer to join our team and help streamline software delivery, infrastructure management, and system reliability. You will work closely with the rest…
Added 2 months ago
M
Senior Software Engineer - Brokerage Platform
moomoo
Remote, Canada
- Full-time
- Remote
We are looking for an experienced Senior Software Engineer to join our engineering team in Toronto.
Added 3 months ago
A
Senior Site Reliability Developer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
We are seeking a highly motivated and experienced Senior Site Reliability Developer (SRE) to manage critical cloud infrastructure and site reliability operations for the Autodesk Platform…
Added 2 months ago
RB
Staff Engineer – Software Development, Architecture, Security & Governance
Royal Bank of Canada
Toronto, ON
- Full-time
We are seeking a highly skilled and experienced Staff Engineer to join our Enterprise Architecture team, leveraging their expertise in full-stack development, backend engineering, API…
Added 2 months ago
Senior GCP Data Engineer
Capgemini
Mississauga, ON
Proficiency in SQL, Python, Java/Scala, and distributed systems (Spark, Beam). GCP Expertise: Hands-on with BigQuery, Dataflow, Dataproc, Pub/Sub, Composer (Airflow), and Terraform. DevOps:…
Added 2 months ago
GS
Senior Software Engineer
Guidewire Software
Mississauga, ON · Toronto, ON
- Full-time
As a Senior Full‑Stack Software Engineer, you will design and build elegant, high‑impact capabilities for insurance content transformation and modeling, advancing Guidewire’s shift toward…
Added 3 months ago
C
Full Stack Software Engineer
Citi
Mississauga, ON
- Full-time
We are hiring a Full Stack Engineer to design, build and maintain a critical Cash & Intraday Liquidity Management platform. This platform sits at the intersection of engineering ambition…
Added 3 months ago
E
Senior Backend Engineer, Entities
EvenUp
Toronto, ON
- $184,728 to $249,926 CAD / year
- Full-time
This is a hybrid role, 3x per week at our SF office three days per week
Added 3 months ago
ES
Machine Learning Engineer - EA Sports FC
EA SPORTS
Vancouver, BC
- Full-time
Reporting to the Senior Data Science Manager, we are seeking a full-stack Machine Learning Engineer to operationalize, deploy, and scale high-impact machine learning solutions and…
Added 3 months ago
R
Staff Engineer – Software Development, Architecture, Security & Governance
RBC
Toronto, ON
- Full-time
We are seeking a highly skilled and experienced Staff Engineer to join our Enterprise Architecture team, leveraging their expertise in full-stack development, backend engineering, API…
Added 2 months ago
Senior Application Security Engineer
TripleLift
Toronto, ON
The Senior Application Security Engineer plays a critical role in driving secure software development and application security maturity within TripleLift's Engineering and Security…
Added 3 months ago
GD
Senior Backend Engineer - App
Groupe Dynamite, Inc Garage
Mont-Royal, QC · Ville Mont-Royal, Quebec
- Full-time
…a modern E-commerce mobile app ecosystem. As an experienced Senior Engineer I, you will lead feature development, mentor junior engineers, and influence architecture for mission-critical…
Added 3 months ago
Senior Full Stack API Engineer
Questrade Financial Group
Toronto, ON
Work-life balance in a hybrid environment with at least 3 days in office
Added 2 months ago
Staff Software Engineer, Financial Crimes
Stripe
Toronto, ON
As a Staff Engineer on Financial Crimes Engineering, you'll own technical direction across our screening, detection, and review systems. You'll design infrastructure that balances screening…
Added 3 months ago
Principal Software Engineer, Money Movement (Questbank)
Questrade Financial Group
Toronto, ON
Work-life balance in a hybrid environment with at least 3 days in office
Added 3 months ago
CS
Senior DevOps Engineer
Canadian Solar Inc.
Kitchener, ON
- Full-time
We are seeking a talented Sr DevOps Engineer to join our dynamic team and contribute to the delivery of on-site and cloud-based Energy Management System (EMS) for utility grade systems. The…
Added 3 months ago
T
Senior Machine Learning Engineer
TD
Toronto, ON
- Full-time
Strong coding proficiency in Python, Java, C, or C++
Added 3 months ago
C
Full Stack Lead Engineer
Citi
Mississauga, ON
- Full-time
We are hiring a Full Stack Lead Engineer who can support a critical Cash & Intraday Liquidity Management platform. This platform sits at the intersection of engineering ambition and…
Added 3 months ago
LI
Lead Engineer
LanceSoft, Inc.
Montreal, QC · Greater Montreal Metropolitan Area
- Contract
Strong communication skills with the ability to engage technical teams, non-technical stakeholders, vendors, product owners, risk partners, and senior leaders.
Added 2 months ago
A
Senior Principal Engineer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
GET Engineering is seeking an experienced Senior Principal Engineer – AI and Engineering Excellence to lead the technical strategy and evolution of our cloud platform, developer experience,…
Added 3 months ago
C
Senior Software Engineer
Clutch
Toronto, ON
- $160,000 to $200,000 CAD / year
- Full-time
Have experience with one or more modern programming languages such as TypeScript, Python, Go, Java, C#, Rust, or Ruby.
Added 3 months ago
E
Manager, Software Engineering
Emburse
Toronto, ON
- Full-time
…engaging and interconnected set of system solutions. As an engineer, you will enhance the experiences of your customers, solve interesting challenges, and design new solutions. Emburse,…

Closed listing

Senior AI Engineer, Full-Stack - Agent Factory

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

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 · Full-time

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

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
Experience: 10+ years of professional software development experience, including significant full-stack ownership from modern frontend through backend services.
Posting language: English
Posted: Aug 12, 2026

Similar jobs hiring now

Search current openings

Original job description

Archived listing. The details below describe a past opening.

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

Agent Factory is where Workday's next chapter gets built. Within our AI organization, small, senior, cross-functional pods bring together product leaders, machine learning engineers, UX designers, and full-stack builders to create intelligent agents used by millions of people every day.
This is production-grade AI embedded deeply into Workday's platform - not research experimentation or maintenance work. We ship to paying enterprise customers today, and we're kicking off a new AI agent initiative that will define how our products reason and act on behalf of users. High trust, high expectations, and real impact. Engineering, but brighter.

About the Role

You'll own the end-to-end design, implementation, and product integration of our intelligent agents - and build the full-stack product surface those agents live in. Our ML Engineers build and optimize the foundational algorithms; your mission is intelligence orchestration and product delivery, connecting the brain to the product.

Expect to be hands-on across React frontends, backend microservices, APIs, data models, asynchronous workflows, agent orchestration layers, and delivery infrastructure. Because these agents work with sensitive HR and financial data at global scale, you'll help implement the guardrails that keep them private, predictable, and explainable.

This is the most senior engineering role on the team. You'll set the technical direction for our agent architecture, mentor the engineers around you, and be the person who presents the work when the stakes and visibility are highest.

Design and implement agentic workflows - orchestration and routing layers, tool calling, retrieval pipelines, memory, and multi-step reasoning - and integrate foundation models into customer-facing HR and Finance workflows.
Build and operate end-to-end features across React frontends, backend microservices, APIs, data models, and CI/CD. You build it, you run it.
Own the constraints that make agents viable in production: latency, cost per interaction, context-window efficiency, determinism, and graceful failure.
Build the evaluation loop - offline and online evals, benchmarking agent behavior against product requirements, and production observability of agent traces.
Implement Responsible AI in practice: guardrails, permission and data-boundary enforcement, PII handling, auditability, and explainability.
Lead high-visibility projects end to end and present them with confidence in design reviews, demos, and executive updates.
Make the call when the team needs one - gather input quickly, commit to a direction, document the trade-offs, and adjust as evidence arrives.
Mentor engineers, raise the technical bar, and partner closely with Product, UX, Machine Learning, and platform teams.

About You

Basic Qualifications

10+ years of professional software development experience, including significant full-stack ownership from modern frontend through backend services.
5+ years with backend web frameworks; Python frameworks such as FastAPI, Flask, or Django preferred.
2+ years integrating large models (LLMs, foundation models) and modern AI APIs into production, user-facing products.
1+ years designing and scaling AI orchestration architectures - multi-agent or tool-calling frameworks, routing layers, or advanced RAG pipelines.
4+ years using cloud platforms (e.g., AWS, GCP) to deploy responsive, scalable systems.

Other Qualifications

Track record of shipping AI and agentic features that real customers use in production, and owning them after launch - prototypes alone aren't the bar.
Product-first mindset: you apply large models to solve practical user problems, not to showcase the technology.
Practical command of LLM constraints (token and cost management, context-window efficiency, caching, streaming, fallbacks) and of evaluation - rapid prototyping, benchmarking outputs, and automated metrics for retrieval quality and agentic behavior.
Strong understanding of the governance, guardrails, and security layers required when deploying autonomous agents over sensitive enterprise data.
Proven ability to architect the application layer around AI models: reusable patterns for predictability, error handling, and seamless UX integration.
Strong experience with React or a comparable framework, TypeScript, state management, and modern build tooling, plus a commitment to accessibility (WCAG 2.1/2.2).
Deep knowledge of backend service architecture, microservice patterns, and REST API design, with proficiency in Python and ideally Kotlin or Java.
5+ years with relational databases (PostgreSQL preferred) and non-relational stores, including query analysis and indexing optimization.
Strong grasp of distributed-system trade-offs, with the ability to independently diagnose and optimize performance at scale.
Hands-on with Infrastructure-as-Code, CI/CD automation, Docker and Kubernetes, observability, incident support, and secure coding practices.
A natural technical leader: people follow your direction because of your clarity and judgment, not your title. You measure success by what the team ships, not only by what you ship.
Proven track record leading engineering workstreams end to end and mentoring junior-to-mid-level engineers into stronger ones.
Confident presenter who is comfortable owning the room, and steady when a project is visible, ambiguous, or under real time pressure.
Collaborative and decisive: you seek input broadly, disagree and commit, and keep momentum without steamrolling.
Highly autonomous builder who turns open-ended product goals into concrete, scalable engineering plans.
Bachelor's degree (Master's preferred) in Computer Science, Software Engineering, or an equivalent technical field.
Experience integrating ML services or data pipelines into web applications; familiarity with Elasticsearch, rich-text editors or document-parsing tools, C4 diagramming, or Workday XO lifecycle management.

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.

At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email accommodations@workday.com.

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.

About employer

More about this job

Responsibilities

Design and deliver full-stack applications and platform services that integrate AI agents into Workday's HR and Finance workflows. Lead the architecture of complex features while mentoring engineers and collaborating across cross-functional teams.

Requirements

Requires 8+ years of professional software development experience with significant full-stack and backend expertise. Candidates must have strong proficiency in Python, React, relational databases, and distributed system architecture.

Skills

Full-stack development
Python
React
PostgreSQL
Microservices
RESTful APIs
Cloud infrastructure
Distributed systems
CI/CD
Docker
Kubernetes
TypeScript
System architecture
Machine learning integration
Agile methodologies
Mentoring

Benefits

Annual bonus plan
Annual refresh stock grants

Visa sponsorship

Not detected in the job text

Keywords

Software Development Engineer
Agent Factory
AI
Full-stack
Python
React
PostgreSQL
Microservices
REST API
SaaS
Kotlin
Java
TypeScript
Distributed Systems
Infrastructure-as-Code
CI/CD
Docker
Kubernetes
DevOps
AWS
GCP
Elasticsearch
Scrum
Git
WCAG
System Architecture
Machine Learning
Cloud Computing
Enterprise Platform
Observability

Report this job

Work requirements

Jobs in Canada