Jobs in Canada

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Added 1 month ago
GT
Senior QA Automation Engineer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $90 to $100 CAD / hour
- Contract
Onsite Flexibility: Hybrid - four days per week onsite, with one remote day based on team and business needs
Added 1 month ago
S
QA Automation Engineer with AI
Synechron
Calgary, AB
- $75,000 to $85,000 CAD / year
- Full-time
Must have logical aptitude to understand interactions/workings of systems
Added 1 month ago
Content Producer
Haven Interactive Studios - English
Montreal, QC
In May 2021, we embarked on a journey to start Haven Studios with a small team and big ambitions. Our goal was to build a studio where we could make the kind of games we’ve always wanted to…
Added 1 month ago
Content Producer
PlayStation Global
Montreal, QC
…experiences under the PlayStation brand, a name synonymous with entertainment excellence and…
Added 2 months ago
ICQA Data Analyst, YEG2
Amazon
AB · Parkland County, Alberta
- Experience with modern software development, web development frameworks, APIs
Added 1 month ago
P
AI Platform Developer
Petal
Remote, Canada
- Full-time
- Remote
Languages and frameworks: Python, Node.js, TypeScript, Angular
Added 1 month ago
P
Senior AI Platform Developer
Petal
Remote, Canada
- Full-time
- Remote
Languages and frameworks: Python, Node.js, TypeScript, Angular
Added 1 month ago
CO
DevOps Engineer
Caspian One
Toronto, ON
- $80 to $110 CAD / hour
- Contract
(The team are working exclusively with Caspian One to build out this team)
Added 2 months ago
C
Senior Fullstack Engineer, Agentic Experience
CreatorIQ
Remote, Canada
- $132,000 to $165,000 CAD / year
- Full-time
- Remote
Backend & API Expertise: You are proficient in Node.js and Python, with a strong background in building reliable APIs and integrating data connectors.
Added 1 month ago
Staff Machine Learning Engineer, SecureAI
Okta
Toronto, ON
8+ years of software development experience, with strong programming expertise in Python (and familiarity with Go or Typescript a plus).
Added 2 months ago
C
Pluggable Optical Modems Test Engineer
Ciena
Ottawa, ON
- Full-time
The must haves:
Added 1 month ago
C
Senior Penetration Tester & Red Team Engineer
Cognizant
Toronto, ON
- Full-time
…development. This role combines hands-on security engineering with offensive security expertise to identify vulnerabilities, simulate real-world attack scenarios, and develop automation…
Added 2 months ago
MI
Sr. Engineer - AI Solutions
Magna International
Aurora, ON · Toronto, ON
- $102,500 to $124,700 CAD / year
- Full-time
This position will be responsible for developing next-generation AI solutions with Machine Learning, GenAI and Agentic AI to improve our engineering processes. These solutions will address…
Added 2 months ago
S
Intermediate Full Stack Developer
Syntronic
Ottawa, ON
- Full-time
Hands-on experience with one or more modern backend languages, frameworks, or runtimes, such as Node.js/TypeScript, Python, .NET/C#, Java/Kotlin, Go, or equivalent technologies. Experience…
Added 1 month ago
TC
Payload System Verification and Validation Engineer
TMC Canada
Montreal, QC
- Full-time
…verification of next-generation digital communications payloads, with emphasis on requirements verification through test, end-to-end telecom performance validation, and traceable closure of…
Added 2 months ago
B
Senior Data Engineer
BMO
Toronto, ON · SCC
- Full-time
Accelerate development by building frameworks, automation scripts, and reusable code
Added 1 month ago
AD
L3 SOC Analyst / Incident Responder
act digital
Montreal, QC
- Full-time
Proficiency in scripting languages (e.g., Python, PowerShell) for automation and custom detection use cases.
Added 1 month ago
Lead Web Solutions Developer, Cloud Support, Tools and Automation (English)
Google
Waterloo, ON
Experience with programming in one of the following: Java, Python, GoLang, or TypeScript/JavaScript.
Added 3 months ago
Business Intelligence Analyst
CAA Club Group
Winnipeg, MB
Familiarity with ML concepts, frameworks, and libraries along with the ability to execute these in Python/R is considered a strong asset.
Added 2 months ago
A
Senior Full Stack Software engineer
Affinity
BC · British Columbia, Canada
- Full-time
On behalf of our client, Affinity is seeking an experienced Senior Full Stack Developer to join their engineering team in Canada. This is a full-time opportunity for a seasoned engineer who…
Added 2 months ago
Q
FY27 Intern - Low-Power AI, Audio, and Sensors Subsystem Engineering Internship - ASIC Firmware / Embedded - Canada (12 or 16 months)
Qualcomm
Markham, ON
- Full-time
Must have a minimum of one semester of university remaining after the internship concludes
Added 2 months ago
FI
Senior Engineer, Applied AI
Fulfillment IQ
Remote, Canada
- Full-time
- Remote
…solve complex, real-world problems across warehouse design, automation, order management, transportation, and end-to-end supply chain…
Added 2 months ago
AA
Machine Learning Applied Scientist (Co-op)
Apera AI Inc
Vancouver, BC
- $3,600 to $4,500 CAD / month
Apera AI helps manufacturers make their factories more flexible and productive. Robots enhanced with Apera's software have 4D Vision - the ability to see and grasp objects with human-like…
Added 2 months ago
C
AI Engineer
Cognizant
Toronto, ON
- Full-time
Advanced Python proficiency with strong software engineering fundamentals (version control, testing, code reviews)
Added 2 months ago
ES
Offensive Security Engineer
Epsilon Solutions Ltd.
Toronto, ON
- Contract
Advanced technical proficiency in multiple programming language (Java, C#, C, C++, Python, JavaScript/TypeScript, .NET, Go) with proven ability to personally write, review, and remediate…

Senior Engineer, Applied AI

Remote, Canada

Remote

Job Title: Senior Engineer, Applied AI Location: Toronto, ON (Onsite/Hybrid) Job Type: Full-Time Hiring Timeline: Immediate Reporting Line: Head of R&D Existing Vacancy: Yes Salary Range: 135K – 170K CAD per year (negotiable) · Full-time

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Job details

Pay: Job Title: Senior Engineer, Applied AI Location: Toronto, ON (Onsite/Hybrid) Job Type: Full-Time Hiring Timeline: Immediate Reporting Line: Head of R&D Existing Vacancy: Yes Salary Range: 135K – 170K CAD per year (negotiable)
Job type: Full-time
Workplace: Remote
Remote eligibility: Canada listed. Check the posting for province restrictions.
Posting language: English
Posted: Sep 15, 2026

Original job description

General Information:

About Fulfillment IQ (FIQ):

Fulfillment IQ is a supply chain engineering and transformation company that helps brands, retailers, and 3PLs design, build, and scale high-performance logistics operations.

We work at the intersection of strategy, operations, and technology where we solve complex, real-world problems across warehouse design, automation, order management, transportation, and end-to-end supply chain execution.

Our teams combine deep domain expertise with strong technical capability, delivering outcomes through consulting, systems implementation, and proprietary platforms that accelerate time-to-value and reduce delivery risk.

If you enjoy working in complex environments, partnering closely with clients, and seeing your work make a tangible impact on how global commerce moves, this is the place where your skills and judgment truly come to life.

Role Overview:

This is a high-impact, senior engineering role, where engineers are expected to operate with significant ownership and minimal oversight. The role focuses on building production-ready AI systems in an environment where speed, correctness, and architectural decisions have long-term implications.

Ideal Candidate’s Profile:

A seasoned AI engineer (ninja-level) with hands-on experience in developing and deploying real LLM systems, who excels in environments with significant ownership responsibilities and values impactful work more than structured, low-risk settings.

Individuals driven by ownership, autonomy, and the opportunity to build from the ground up (rather than being a small cog in a large organization) will thrive here.

Responsibilities & Expectations:

Key Responsibilities:

Design and build production-grade LLM systems (RAG, agents, APIs)
Architect systems that minimize rework in fast-evolving environments
Own end-to-end delivery of critical AI features
Define and implement evaluation frameworks
Optimize systems for cost, latency, and reliability
Collaborate across teams where needed
Provide technical guidance where applicable (especially for less experienced engineers on adjacent teams)

Must-Haves (non-negotiables):

Strong backend/software engineering foundation (Python, APIs, system design)
Proven experience shipping LLM-powered features to production (non-negotiable)
Deep expertise in:

- RAG systems (advanced retrieval + evaluation)
- LLM evaluation methodologies (golden sets, regression testing)
- Prompt engineering at API level
- Agent architectures (ReAct, tool calling, planning loops)
Strong understanding of trade-offs (cost, latency, scalability)
Ability to work independently in ambiguous, fast-moving environments

Nice-to-Have:

Fine-tuning experience (LoRA, SFT, DPO)
Inference stack experience (vLLM, TGI, llama.cpp)
Observability tooling (Langfuse, LangSmith)
Prior experience in early-stage or high-ownership teams

Public work (GitHub, blogs, talks) demonstrating depth

Education:

Bachelor's or master's degree in computer science or a related discipline

Technical Skills:

Advanced Python and backend engineering
LLM systems (RAG, agents, prompting, evaluation)
API design and system architecture
Docker, Git, CI/CD
Understanding of inference systems and scaling

Soft Skills:

High ownership and accountability
Ability to operate in ambiguity (“build while flying”)
Strong decision-making and trade-off analysis
Clear communication with cross-functional teams

What Success Looks Like in the First 90 Days:

By the end of Month 1:

Deeply understand Crosstalk/Zync architecture and ongoing projects
Contribute meaningfully to ongoing systems (not just onboarding tasks)
Identify gaps or risks in current implementations

By the end of Month 2:

Own and deliver a critical feature or system component end-to-end
Improve an existing system (performance, evals, or architecture)
Demonstrate strong independent execution

By the end of Month 3:

Act as a trusted senior engineer on the team
Drive architectural decisions or improvements
Deliver measurable impact (system reliability, quality, or efficiency)
Operate with minimal oversight in high-stakes projects

Why You’ll Love Working Here:

At Fulfillment IQ, we don’t just build supply chain solutions. We build careers, friendships, and unforgettable experiences.

We believe in giving our senior technical leaders real ownership, real influence, and the opportunity to shape platforms that power real-world logistics operations.

As an equal opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all team members.

Here’s what makes working with us a rewarding experience:

Work That Matters Build systems that directly impact global commerce and supply chain performance.

Career Growth That Matters We invest in mentorship, leadership development, learning budgets, and long-term career growth.

Flexibility to Thrive We support remote and hybrid work models by offering multiple office locations to help you perform at your best.

We Celebrate You From team wins to work anniversaries, we recognize impact, celebrate milestones and reward performance.

A Collaborative Culture Work alongside talented engineers, product leaders, and award-winning domain experts who value ownership, transparency, and high standards.

Perks you’ll appreciate:

Employee Health: Comprehensive health and dental coverage for you and your family
Time Off: Competitive paid time off and flexible leave policies
Retirement: Retirement savings programs and employer contributions
Professional Growth: Dedicated learning and development budget
Flexible Work: Remote and hybrid work options
Perks: Equipment allowances, internet reimbursements, business travel coverage, and employee stock options (ESOP), where applicable.
Community Engagement: Team events, meetups, and company offsites

Use of Artificial Intelligence in Hiring:

FIQ uses artificial intelligence to assist in the screening, assessment, and shortlisting of applications for this position, including features within our applicant tracking system. AI supports human reviewers and does not make hiring decisions on its own. Final hiring decisions are made by FIQ personnel. If you have questions about how AI is used in this process, contact hr@fulfillmentiq.com.

Accommodations:

FIQ is committed to an inclusive and accessible recruitment process. Consistent with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code, accommodations are available on request at any stage of recruitment and assessment. Contact hr@fulfillmentiq.com and we will work with you to meet your needs.

Candidate Privacy:

Your personal information is collected and used for recruitment purposes in accordance with FIQ's Candidate Privacy Notice, available here, and in accordance with applicable Canadian privacy law (PIPEDA). This includes the use of AI-assisted screening described above and cross-border storage or processing that may occur in the United States. By applying, you acknowledge this notice. Questions: hr@fulfillmentiq.com.

Equal Opportunity:

Fulfillment IQ is a people-first company built on trust, collaboration, and ownership. We are proud to be an equal opportunity employer and are committed to building a diverse, inclusive, and high-performing workplace. We consider all qualified applicants without regard to any ground protected under the Ontario Human Rights Code, including race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, or disability.

Learn More About Us:

Website: fulfillmentiq.com

LinkedIn: Fulfillment IQ

Spotify: eCom Logistics Podcast Spotify

YouTube: eCom Logistics Podcast YouTube

Apply on jobs.workable.com About employer

More about this job

Responsibilities

Design and build production-grade LLM systems including RAG, agents, and APIs while owning the end-to-end delivery of critical AI features. Collaborate across teams to define evaluation frameworks and provide technical guidance to ensure system reliability and performance.

Requirements

Requires a strong backend engineering foundation with proven experience shipping LLM-powered features to production. Candidates must possess deep expertise in RAG systems, agent architectures, and prompt engineering, along with the ability to work independently in ambiguous environments.

Skills

Python
LLM systems
RAG
Prompt engineering
Agent architectures
API design
System architecture
Docker
Git
CI/CD
Inference systems
Evaluation methodologies
Backend engineering
Scalability
Technical leadership

Benefits

Health insurance
Dental coverage
Retirement savings programs
Employer contributions
Learning and development budget
Equipment allowances
Internet reimbursements
Business travel coverage
Employee stock options

Visa sponsorship

Not detected in the job text

Keywords

Applied AI
LLM
RAG
Python
API
System Design
ReAct
Tool calling
Fine-tuning
LoRA
SFT
DPO
vLLM
TGI
Llama.cpp
Langfuse
LangSmith
Docker
Git
CI/CD
Supply Chain
Logistics
Automation
Order Management
Production-ready
Latency
Scalability
Evaluation frameworks
Cross-functional collaboration
Ownership

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Work requirements

Jobs in Canada