Jobs in Canada

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Added 58 mins ago
A
Senior Test Engineer
Actalent
Ottawa, ON · Nepean, ON
- $50 to $60 CAD / hour
- Contract
The Test Engineer supports new product introduction and manufacturing test for fiber optic la equipment. This role sits alongside R&D while owning manufacturing-focused test activities…
Added 2 hours ago
Technology - Brokerage Engineering - Senior Data Engineer
Questrade Financial Group
Toronto, ON
Work-life balance in a hybrid environment with at least 3 days in office
Added 2 hours ago
LT
Senior QA Engineer
Lorven Technologies Inc.
Toronto, ON
- Contract
TheSenior QA Engineerensures the quality,performance, and releasereadiness of enterprise core banking software deployed to Tier-1 financial institutions. Operating across agile feature…
Added 3 hours ago
MT
Manufacturing Engineer
Modern Technical Staffing Inc.
Guelph, ON
- $90,000 to $105,000 CAD / year
- Full-time
Manage and maintain manufacturing data, including BOMs, routings, item masters, and process documentation to support production accuracy.
Added 4 hours ago
B
Sr. Consultant - Enterprise Risk Advisory 4C
BrightClaim
Quebec, QC
- Full-time
At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our…
Added 5 hours ago
S
Commercial Lead
SYSTRA
Toronto, ON
- Full-time
Analyzes data and develops reports and action plans to improve performance and achieve commercial priorities; coordinates analysis and provides reports on commercial risks, contract…
Added 6 hours ago
N
POS Integration & Implementation Engineer – Retail Data
nugget.ai
Mississauga, ON
- Contract
We are seeking an experienced POS Integration & Implementation Engineer to lead technical integrations between Daisy Retail and third-party POS systems.
Added 6 hours ago
A
Solutions Architect / Solutions Engineer- Payments
Airwallex
Toronto, ON
- Full-time
This role can be based in SF, NYC, Seattle or Toronto (3 days in office), with implementation coverage across the US
Added 11 hours ago
L
AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
As an AI/ML Engineer, you will contribute to the design and implementation of AI/ML systems across the full model lifecycle from dataset curation, feature engineering, and model training…
Added 11 hours ago
O
Lead Principal Platform Software Engineer
Oracle
Toronto, ON
- $123,900 to $203,600 CAD / year
Leads strategic initiatives to optimize software testing (e.g., functional and non-functional), quality assurance processes, software error logging, monitoring, and observability for…
Added 12 hours ago
C
Senior Software Developer- Cloud & Data Platforms
CGI
Halifax, NS
- Full-time
In this role, you will work on complex business applications and data-driven platforms, taking ownership of solutions from requirements gathering and architecture through development,…
Added 13 hours ago
A
Principal Data Engineer, User Success (Agentic Experiences)
Autodesk
Vancouver, BC
- Full-time
The Principal Data Engineer will report to Director of Growth and Data Science in the Experience Foundations organization. This is a critical data science role for our agentic insights…
Added 14 hours ago
SC
Technical Specifications Coordinator
SYSTRA Canada
Montreal, QC
- Full-time
Reporting to the workstream Design Director and working in close collaboration with discipline leads, system engineering teams, civil infrastructure, rail systems, procurement, and project…
Added 16 hours ago
A
Concepteur Ou Conceptrice Logiciel Principal (E)
Actalent
Montreal, QC
- $60 to $85 CAD / hour
- Contract
Vous travaillerez principalement sur site, avec une présence attendue trois jours par semaine dans un établissement moderne récemment aménagé
Added 17 hours ago
KT
Account Executive – B2B Technology Solutions
KSPACE TECHNOLOGIES HQ
Remote, Canada
- $45,000 to $55,000 CAD / year
- Full-time
- Remote
Our expertise spans software engineering, artificial intelligence, enterprise systems, IT infrastructure, cloud technologies, data analytics, and strategic technology advisory.
Added 18 hours ago
Q
Senior Engineer - Distribution
Qualus
Toronto, ON
- Full-time
Serve as Professional Engineer (PoR), taking accountability for technical accuracy, quality, and compliance of design deliverables.
Added 18 hours ago
AT
Product Development Engineer
ArcelorMittal Tailored Blanks North America
Windsor, ON
- Full-time
At ArcelorMittal Tailored Blanks (AMTB), our advanced steel solutions and laser-welded blank technologies help leading automakers improve vehicle safety, reduce weight and support a more…
Added 18 hours ago
K
FULLSTACK ENGINEER
Kablamo
Toronto, ON
- Full-time
Kablamo is an impact-driven software engineering company (teamkablamo.com). We bring engineering, data, and AI expertise to solve complex problems with the intellectual horsepower to know…
Added 19 hours ago
AI
SharePoint Developer / Transformation Lead
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Florenceville-Bristol, NB
- Full-time
Participate in solution design, development, unit testing, quality assurance, deployment, and post-production support activities.
Added 19 hours ago
H
Senior QA Engineer
Hays
Vancouver, BC
- Contract
The client’s digital team is looking for a Senior QA Engineer with experience across our in-store Point-of-Sale (POS) and mobility stack, including Oracle Xstore and Xmobile, to support…
Added 20 hours ago
B
Senior AI Systems Engineer
Benevity
Remote, Canada
- $82,900 to $113,960 CAD / year
- Full-time
- Remote
As a Senior AI Systems Engineer, you'll build and run the machine learning and GenAI systems that power Benevity's products. You'll turn promising prototypes into reliable, production-grade…
Added 20 hours ago
GL
Lead Process Engineer
Gay Lea Foods
Hamilton, ON
- Full-time
The Lead Process Engineer plays a strategic role in driving operational excellence for a facility or manufacturing network through the development, implementation, and optimization of…
Added 20 hours ago
B
Director, Technology
BDC
Montreal, QC
- Full-time
Recruit, lead, and develop the AI development team; establish best practices for delivery, quality, and AI-assisted development.
Added 20 hours ago
DB
System Engineer
Deep Breathe
London, ON
- Full-time
Working alongside the Regulatory Affairs Lead and embedded with our software and ML developers, you'll work across regulatory, engineering, data science, quality and leadership to turn…
Added 20 hours ago
Data Analyst, ILI - Crack Analysis (UT Level 2 / 3)
DarkVision
North Vancouver, BC
In this role, you will work with the Data, Research, and Product teams to analyze ultrasonic ILI data and deliver the crack assessments that pipeline operators rely on. You will be trained…

Benevity

Senior AI Systems Engineer

Remote, Canada

Remote

$82,900 to $113,960 CAD / year · Full-time

Apply on jobs.ashbyhq.com About employer

Applications open in a new tab.

Job details

Pay: $82,900 to $113,960 CAD / year
Job type: Full-time
Workplace: Remote
Remote eligibility: Canada listed. Check the posting for province restrictions.
Experience: 5+ years of software engineering experience, including 3+ years building and deploying ML models in production.
Posting language: English
Posted: Nov 10, 2026

Original job description

Meet Benevity

Benevity is the way the world does good, providing companies (and their employees) with technology to take social action on the issues they care about. Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more!

Benevity’s software architecture has evolved to include a diverse technology stack. The front-end application, using mainly VueJS, is designed for both desktop and mobile web rendering. Our back-end systems (some Java SpringBoot, some PHP) manage data processing, interfaces with external providers, and ensures robust security. We run and operate our systems in both GCP and AWS cloud, leveraging where possible cloud-native technology. We emphasize clean, maintainable code and use GIT for version control and collaboration. Additionally, our platform integrates with various external services for functionalities like email communication, content storage, and server-to-server interactions.

Our culture is driven by our core value of “we-are-we” and as a Senior AI Systems Engineer, you will work in an outcome-driven environment where collaboration with your product, design and engineering counterparts is paramount.

If you’re eager to make a difference and thrive in a collaborative setting, we invite you to join our team!

Position Overview:

As a Senior AI Systems Engineer, you'll build and run the machine learning and GenAI systems that power Benevity's products. You'll turn promising prototypes into reliable, production-grade features that help impact leaders do more good. You'll own significant systems from design through monitoring, work closely with data scientists and product managers, and help raise the bar for the engineers around you. You'll work closely with the Staff engineers on architecture and strategy, and lead delivery in your own area.

What you’ll do:

Design, build and operate ML and GenAI features end to end, from data ingestion and feature pipelines to model serving and monitoring.
Build LLM-powered applications such as search, assistants and agents, including RAG pipelines, tool integrations and multi-step workflows.
Create evaluation frameworks for GenAI systems that combine offline benchmarks, online metrics and human review.
Implement guardrails for GenAI applications, including prompt injection defenses, hallucination mitigation and responsible AI practices.
Put MLOps standards into practice: versioning, automated testing, A/B testing, drift detection and safe rollbacks.
Translate business problems from product managers and data scientists into clear technical requirements and scoped delivery plans.
Write design docs, take part in design reviews and give thoughtful code reviews.
Mentor mid-level engineers on production ML practices and system design.
Balance latency, cost and quality when choosing models, prompts and infrastructure.
Find and fix bottlenecks in pipelines, serving and platform performance.

What you’ll bring:

Bachelor's or Master's degree in Computer Science, Mathematics or a related field, or equivalent professional experience.
5+ years of software engineering experience, including 3+ years building and deploying ML models in production.
Hands-on experience across the ML lifecycle: training, evaluation, deployment, monitoring and retraining.
Strong Python skills and experience with ML frameworks such as PyTorch, TensorFlow or scikit-learn.
Experience with at least one major cloud platform (AWS, Azure or Google Cloud) and with distributed workloads.
Working knowledge of data pipelines, feature engineering and large-scale data processing.
Familiarity with ML tooling such as experiment tracking, model registries, feature stores or orchestration frameworks.
Experience with CI/CD for ML, including automated validation and rollback strategies.
Experience shipping LLM-based features, including prompt engineering, few-shot techniques and tool or function calling.
Experience building RAG systems, including embeddings, vector databases and retrieval tuning.
Exposure to agentic workflows and orchestration frameworks such as LangChain, LlamaIndex or ADK.
Solid grasp of APIs, microservices and reliability fundamentals.
Awareness of data governance, privacy, bias and explainability in AI systems.
Clear communication and a collaborative approach with technical and non-technical partners.

Great-to-haves:

Certification in relevant cloud platforms or technologies.

Discover your purpose at work

We’re not employees, we’re Benevity-ites. From all locations, backgrounds and walks of life, who deserve more …

Innovative work. Growth opportunities. Caring co-workers. And a chance to do work that fills us with a sense of purpose.

If the idea of working on tech that helps people do good in the world lights you up ... If you want a career where you’re valued for who you are and challenged to see who you can become …

It’s time to join Benevity. We’re so excited to meet you.

Where We Work

At Benevity, we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work, strong relationships, and personal well-being. For those located near one of our offices, while there’s no set requirement for in-office time, we do value the moments when coming together in person helps us build connection and collaboration. Whether it’s for onboarding, project work, or a chance to align and bond as a team, we trust our people to make thoughtful decisions about when showing up in person matters most.

Join a company where DEIB isn’t a buzzword

Diversity, equity, inclusion and belonging are part of Benevity’s DNA. You’ll see the impact of our massive investment in DEIB daily - from our well-supported employee resources groups to the exceptional diversity on our leadership and tech teams.

We know that diverse backgrounds, experiences, skills and passions are what move our business and our people forward, so we're committed to creating a culture of belonging with equal opportunities for everyone to shine.

That starts with a fair and accessible hiring process. If you want to feel seen, heard and celebrated, you belong at Benevity.

Candidates with disabilities who may require accommodations throughout the hiring or assessment process are encouraged to reach out to accommodations@benevity.com.

Apply on jobs.ashbyhq.com About employer

More about this job

Responsibilities

You will design, build, and operate end-to-end machine learning and GenAI features, including LLM-powered applications and RAG pipelines. Additionally, you will implement MLOps standards, create evaluation frameworks, and mentor mid-level engineers on production ML practices.

Requirements

Candidates must have a Bachelor's or Master's degree in a relevant field and at least 5 years of software engineering experience, with 3+ years specifically in ML production. Strong proficiency in Python, ML frameworks, and cloud platforms is required, along with experience in LLM-based feature development.

Skills

Python
Machine Learning
GenAI
LLM
MLOps
PyTorch
TensorFlow
Scikit-learn
AWS
Google Cloud
RAG
LangChain
LlamaIndex
System Design
Data Pipelines
CI/CD

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
GenAI
LLM
Python
PyTorch
TensorFlow
Scikit-learn
AWS
Google Cloud
MLOps
RAG
LangChain
LlamaIndex
Data Pipelines
CI/CD
System Design
Prompt Engineering
Vector Databases
Microservices
API
Software Engineering
Artificial Intelligence
Feature Engineering
Model Serving
Drift Detection
A/B Testing
Cloud-native
Distributed Workloads
Data Governance
Responsible AI

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Work requirements

Jobs in Canada