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Senior Software Engineer, Full-Stack Applications (Python & React)
Fitch Group
Toronto, ON
As a member of our Ratings Technology team, you will work on modern full-stack applications that support core business capabilities, partnering closely with engineers, product managers, and…
Senior Software Engineer, Full-Stack Applications - Ratings Technology
Fitch Ratings
Toronto, ON
Full-time
Fitch Ratings is seeking a Senior Software Engineer to join our new AI Innovation teams in Toronto - where we're building the AI-powered platforms and applications that will transform…
Senior Software Engineer (AI & Full Stack)
Fable
Canada
Full-time
Fable is looking for a highly motivated Senior Software Engineer with deep backend expertise, strong full-stack development skills, and hands-on experience building AI-powered applications…
Senior Software Engineer (Full Stack)
Style Analytics
Toronto, ON
Full-time
We are hiring a Senior Software Engineer to join one of our core engineering teams, working on a multi-tenant, enterprise platform used by institutional clients.
Senior Full-Stack Engineer
Prophix
Toronto, ON · Etobicoke, ON
Full-time
As a Senior Engineer on the FP&A Plus platform, you will design, build, and maintain the modular .NET capabilities that more than 2,500 finance teams around the world rely on every day for…
Software Engineer III/Senior Software Engineer (Full Stack)
Workday
Vancouver, BC
Full-time
Agent Factory is where Workday’s next chapter gets built. We’re forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and…
Senior Full-Stack Engineer
Landjourney Technologies
Montreal, QC
$160,000 to $170,000 CAD / year
Full-time
We are a seed-stage company (SOC 2 Type II) with a small, senior engineering team. This role is based in our Montreal office.
Senior Full Stack Engineer
Structurely
Canada
Full-time
Senior Fullstack/Backend engineer with high agency to own and evolve our backend services. You’ll build reliable, scalable systems that support real-time, high-throughput workloads…
Senior Full Stack Engineer
UST
Toronto, ON
Full-time
UST is searching for a Senior Full Stack Engineer with strong Front End expertise to help build and scale high‑impact digital platforms used by millions of users. This is an opportunity to…
Senior / Intermediate Full Stack Engineer (Backend-Leaning)
Valsoft Corporation
Remote, Canada
Full-time · Remote
…that operate at scale. We’re looking for a backend-leaning Full Stack Engineer who enjoys solving meaningful product problems, designing thoughtful systems, and shipping high-quality…
Senior Full Stack Software Engineer, Remitly Business
Remitly
Burnaby, BC
Full-time
As a Senior Full Stack Software Engineer on Remitly Business, you will build product and platform across both sides of this marketplace - from customer-facing onboarding and payment…
Senior Software Engineer (Full Stack)
Objectway
Toronto, ON
$120,000 to $140,000 CAD / year
Full-time
…robust product suite, we are looking to hire a Sr. Software Engineer (Full Stack) to help fuel the next phase of our…
Senior Software Engineer (Full Stack Developer)
TradableBits Media Inc.
Vancouver, BC
Full-time
As the Senior Software Engineer, you will be responsible for writing high-quality code, working across the full stack to develop new features and infrastructure, as well as assuming…
Senior Full Stack API Engineer
Questrade Financial Group
Toronto, ON
We’re looking for our next Senior Fullstack API Engineer. Could It Be You?
Senior AI Engineer, Full-Stack - Agent Factory
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
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…
Senior Full-Stack Engineer, North Tools & Retrieval
Cohere
Remote, Canada
Full-time · Remote
Design, build, ship, and maintain features across the full stack for our roadmap surfaces: large-scale file upload and management, shared knowledge bases, the agent extensibility framework…
Senior Full-Stack Engineer
Landjourney
Montreal, QC
Full-time
We are a seed-stage company (SOC 2 Type II) with a small, senior engineering team. This role is based in our Montreal office.
Senior Full Stack Engineer, Designer Team
Movable Ink
Toronto, ON
The Senior Full Stack Engineer role on the Designer Team collaborates closely and effectively with devs on the team, as well as product, design, and cross-team stakeholders to ship and…
Senior Software Engineer (Full Stack)
O2E Brands
Vancouver, BC
Full-time
1-800-GOT-JUNK? is seeking a Senior Software Engineer (Full Stack) to join our Product & Technology team in Vancouver or Toronto. You will sit on the Omni Channel Product Team, building…
Senior Software Engineer (AI & Full Stack)
Fable
Remote, Canada
Full-time · Remote
Fable is looking for a highly motivated Senior Software Engineer with deep backend expertise, strong full-stack development skills, and hands-on experience building AI-powered applications…
Senior Software Engineer, Full-Stack Applications - Ratings Technology
Fitch Group
Toronto, ON
Fitch Ratings is seeking a Senior Software Engineer to join our organization. This role is about leading the development of what comes next: intelligent applications, full-stack platforms…
Senior Software Engineer (Full-Stack)
Prophix
Remote, Canada
Full-time · Remote
As a Senior Full-Stack Engineer on the FP&A Plus platform, you will design, build, and maintain the modular .NET capabilities that more than 2,500 finance teams around the world rely on…
Senior Full-Stack Automation Engineer - Gravity
MedMe Health
Remote, Canada
$115,000 to $176,000 USD / year
Full-time · Remote
We're hiring an Automation-Focused Full-Stack Engineer for the Gravity pod to spearhead the evolution of our core automation product.
Senior Software Engineer (Full Stack)
Confluence
Toronto, ON
Full-time
We are hiring a Senior Software Engineer to join one of our core engineering teams, working on a multi-tenant, enterprise platform used by institutional clients.
Senior Full-Stack Software Engineer
STAN AI
Toronto, ON
$120,000 to $180,000 USD / year
Full-time
<p>STAN is looking for a full-time Senior Software Engineer who is an enthusiastic problem solver to help create the technology that will change the way we manage residential communities.…

Workday

Senior AI Engineer, Full-Stack - Agent Factory

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

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At a glance

Automatically prepared from the listing. Check the original description for the full requirements.

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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.

Experience

10+ years

Working hours

40 hours per week

Work arrangement

Hybrid

Days in the office

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

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

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 [email protected].

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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