Jobs in Canada

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Added 23 hours ago
T
Sr. Backend Engineer - Node.JS
Telna
ON · Ontario, Canada
- Full-time
Experience with Python, Go or Java alongside Node.js.
Added 23 hours ago
AS
Software Developer
AgileGrid Solutions
Canada
- Full-time
IBM is seeking a Senior Software Engineer to help develop and operate the cloud compute platform for IBM Confluent. The platform supports data-in-motion applications and services, including…
Added 23 hours ago
Software Engineer
Scotiabank
Toronto, ON
3+ years’ experience with Java, Spring Boot, and modern backend frameworks such as Node.js, Express.js, PHP
Added 23 hours ago
K
FULLSTACK ENGINEER
Kablamo
Toronto, ON
- Full-time
We are looking for a FullStack Engineer as we expand our impact with new customers. This posting supports the position to start between November 2026 and February 2027.
Added 1 day ago
TC
Security Research Engineer
Tata Consultancy Services
Toronto, ON
- $110,000 to $120,000 CAD / year
- Full-time
The ideal candidate combines the mindset of a security researcher, software engineer, and emerging-technology evaluator and is comfortable turning new ideas into measurable, working…
Added 1 day ago
TC
Security Researcher Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Must Have Technical/Functional Skills
Added 1 day ago
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Software Developer
Priceline
Toronto, ON
- Full-time
…production. We keep exploring new technologies and better ways to engineer for fast-changing business needs, and engineers at every level help shape what we build…
Added 1 day ago
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Senior AI Systems Engineer
Benevity
Remote, Canada
- $82,900 to $113,960 CAD / year
- Full-time
- Remote
…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…
Added 1 day ago
Software Development Engineer, ElastiCache
Amazon
Vancouver, BC
As a Software Development Engineer on the Data Plane team, you will take on broad ownership of the core engine that sits at the heart of ElastiCache and
Added 1 day ago
II
Implementation Engineer - Contract
Intermedia Intelligent Communications
Remote, Canada
- $40 to $50 CAD / hour
- Temporary
- Remote
The Implementation Engineer (Integrations) designs, builds, and supports IVR and API integrations for enterprise contact center environments. This role works directly with customers to…
Added 1 day ago
ES
DevOps Engineer
Epsilon Solutions Ltd.
Montreal, QC
- Contract
…End‑User Content Management (EUCM) use cases. The team owns and engineer platforms including Alfresco, SharePoint Embedded, Box, Google Workspace, and several supporting…
Added 1 day ago
JG
Application Architect
J&M Group
Toronto, ON
- Full-time
Azure Solutions Architect, Azure AI Engineer, TOGAF, or Kubernetes certifications are considered an asset.
Added 1 day ago
GM
Senior Java Microservices Engineer
Galactic Minds INC
Vancouver, BC
- Full-time
We are looking for a Senior Java Microservices Engineer/Backend Engineer to design, develop, and maintain scalable backend applications using Java, Spring Boot, and Kafka. The role involves…
Added 1 day ago
ST
Junior Software Engineer – Full-Stack Development & AI Integration
SynMatrix Technologies Inc.
Richmond Hill, ON
- Full-time
Must have graduated or be scheduled to graduate in 2026
Added 1 day ago
BS
Sanctions Developer (OFAC)
Brainhunter Systems Ltd
ON · Ontario, Canada
- Contract
This hybrid role requires you to work from our downtown Toronto office and/or the Client office a minimum of 4 days per week
Added 1 day ago
V
Senior Software Engineer
Veem
Ottawa, ON
- Full-time
Hands-on experience as a back-end Java developer, specializing in building highly available scalable systems
Added 1 day ago
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Ping Engineer
Galent
Toronto, ON
- Contract
Must have a working knowledge of LAN/WAN/Firewall/VPN network technologies, monitoring, and support best practices
Added 1 day ago
VT
Full Stack Engineer - React / Node
Viva Tech Solutions
Toronto, ON
- Contract
Added 1 day ago
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Software Engineer II (Full Stack)
TD
Toronto, ON · Ottawa, ON
- Full-time
Software Engineer II (Full Stack) you will perform activities developing components of solutions with a focus on analytics, support, testing, and proof of concepts aligned to business and…
Added 1 day ago
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Undergraduate Co-op Student – Software Engineer – Large Molecule Discovery - Technology
Amgen
Burnaby, BC · Canada - Burnaby
- Full-time
Strong programming skills or coursework in languages such as Python, Java, Javascript, or C#.
Added 1 day ago
V
Senior Software Engineer
Veem
Ottawa, ON
- Full-time
Hands-on experience as a back-end Java developer, specializing in building highly available scalable systems
Added 1 day ago
T
Software Engineer II (Full Stack)
TD
Toronto, ON
- Full-time
Software Engineer II (Full Stack) you will perform activities developing components of solutions with a focus on analytics, support, testing, and proof of concepts aligned to business and…
Added 1 day ago
VL
Lead QA Engineer
VStream Labs Inc.
Toronto, ON
- Contract
VStream Labs Inc. is seeking a Lead QA Engineer with 5+ years of experience in software quality assurance, test automation, and end-to-end testing. You will lead QA activities, define…
Added 1 day ago
XG
DevSecOps Engineer , Mississauga, ON
Xforia Global Talent & Technology Solutions
Mississauga, ON
- Contract
Skills: Distributed Systems development, Java, C/C++, Python, JavaScript (Node.js), Linux, CI/CD, GitHub, AI assisted development workflows.
Added 1 day ago
MM
Engineer
Mitchell Martin Inc.
Toronto, ON
- $35 to $45 CAD / hour
- Other
Senior Backend Engineer - Ontario, Canada - Contract - $35-45 per HR

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