Find work in Canada.

333,792 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 25 mins ago
System Engineer
Vertage
Ottawa, ON · Kanata, ON
Full-time
Collaborate with embedded, cloud, software, and AI/ML teams to deliver scalable solutions.
Added 26 mins ago
Cloud Engineer
Vertage
Ottawa, ON · Kanata, ON
Contract
Seeking a Cloud Engineer with experience in cloud-native application development, API integration, and platform engineering. The role involves building and supporting Ford's Telemetry &…
Added 54 mins ago
Machine Learning Engineer Intern
Jobright.ai
Canada
Internship
Familiarity with data structures, software development, and version control
Added 55 mins ago
Senior Observability Engineer
Apptoza Inc.
Toronto, ON
Contract
This role combines deep technical expertise in modern observability tools with
Added 1 hour ago
Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Apptoza Inc.
Toronto, ON
Contract
This role combines deep technical expertise in modern observability tools with emerging AI/ML capabilities to build intelligent monitoring solutions, predictive alerting, and self-healing…
Added 1 hour ago
Senior AI Engineer
Charger Logistics Inc.
Brampton, ON
Full-time
Charger logistics Inc. is a world- class asset-based carrier with locations across North America. With over 20 years of experience providing the best logistics solutions, Charger logistics…
Added 2 hours ago
Data Annotator
Placement Group
Canada
Full-time
Work with different types of data, including text, images, audio, video, and structured data.
Added 2 hours ago
Senior AI Engineer
Charger Logistics Inc.
Brampton, ON
Full-time
Charger logistics Inc. is a world- class asset-based carrier with locations across North America. With over 20 years of experience providing the best logistics solutions, Charger logistics…
Added 2 hours ago
Senior Automation Developer (Java)
Citi
Mississauga, ON
Full-time
Hands-On Java Expertise: Advanced, daily programming proficiency in Core Java (Java 11/17+), with deep practical expertise in Object-Oriented Programming (OOP), design patterns, Collections…
Added 2 hours ago
Sr. Data Scientist
Charger Logistics Inc.
Brampton, ON
Full-time
Charger Logistics Inc. is a leading asset-based transportation company with over 20 years of experience delivering innovative logistics solutions. We have evolved into a world-class…
Added 3 hours ago
Cloud Engineer
Morson Edge (Canada)
Oakville, ON
$95,000 to $135,000 CAD / year
Full-time
…infrastructure team. This role is ideal for a cloud professional with strong Microsoft Azure expertise who is passionate about designing, deploying, and optimizing secure, scalable cloud…
Added 5 hours ago
Senior DevOps Engineer
Boeing
Richmond, BC · Vancouver, BC · CAN - Richmond, Canada
Full-time
The ideal senior DevOps engineer is a cloud‑native platform expert with deep Azure Functions, CI/CD, IaC, and observability skills, plus strong leadership and cross‑team collaboration…
Added 5 hours ago
Machine Learning Engineer Intern
Jobright.ai
Canada
Internship
Familiarity with data structures, software development, and version control
Added 5 hours ago
Senior Staff Developer, AI and Machine Learning
Benevity
Remote, Canada
$137,800 to $179,080 CAD / year
Full-time · Remote
Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), with strong software engineering fundamentals.
Added 5 hours ago
Senior Staff Developer, AI and Machine Learning
Benevity
Remote, Canada
Full-time · Remote
Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), with strong software engineering fundamentals.
Added 5 hours ago
Senior Data and AI Scientist
Benevity
Remote, Canada
Full-time · Remote
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,…
Added 5 hours ago
Senior Data and AI Scientist
Benevity
Remote, Canada
$109,400 to $150,370 CAD / year
Full-time · Remote
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,…
Added 5 hours ago
Python & Database Developer
Astek
Montreal, QC
Full-time
As a Python & Database Developer, you will develop production-grade data processing pipelines and service endpoints via FastAPI, ensuring robust and optimized database interactions.
Added 6 hours ago
Lead Full Stack Developer, Vice President
Citi
Mississauga, ON
Full-time
Working knowledge of Python, with an interest in applying it within AI/ML contexts to extend platform capabilities.
Added 7 hours ago
AI Developer - Generative AI / Machine Learning
KTek Resourcing
Toronto, ON
Full-time
Required Skills: Python, Machine Learning, Generative AI, LLMs, Prompt Engineering, LangChain, Vector DBs, AWS/Azure AI Services, SQL, APIs.
Added 7 hours ago
Senior Database Engineer (Snowflake)
Cvent
Fredericton, NB
Full-time
Cvent is a leading meetings, events, and hospitality technology provider with more than 6,000+ employees and 34,000+ customers worldwide, including 60% of the Fortune 500. Founded in 1999,…
Added 7 hours ago
AI Developer (Generative AI / Machine Learning) - FTE
Yochana
Toronto, ON
Full-time
Title: AI Developer (Generative AI / Machine Learning) - Fulltime
Added 8 hours ago
Python Developer
Gala Solutions
Montreal, QC
Contract
Strong proficiency of Python with experience developing production-grade data processing pipelines
Added 8 hours ago
AWS Architect
Thinkpivot
Toronto, ON · Downtown Toronto, Ontario
Full-time
Architecture expertise with modern Agentic AI patterns to build autonomous
Added 12 hours ago
Staff AI Engineer (Global Security)
Royal Bank of Canada
Toronto, ON
Full-time
…reduce vulnerabilities across the organization and enhance developer experience. The team has access to rich and massive datasets and computational resources to support development in…

Benevity

Senior Staff Developer, AI and Machine Learning

Remote, Canada

Job type: Full-time
Workplace: Remote
Experience: 8+ years of software engineering experience, with at least 4+ years architecting and deploying ML models in production at scale.
Posting language: English
Posted: Sep 25, 2026

Apply About employer

Applications open in a new tab.

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!

This is a brand new role designed to shape the future of our engineering organization. As Senior Staff Developer - AI and Machine Learning, you will serve as the technical anchor for our machine learning and AI efforts, leading the end-to-end architecture of our GenAI strategy.

You will bridge the gap between theoretical research and production-grade engineering - designing the scalable systems that power our model training, deployment, and monitoring. We are looking for a rare combination of deep technical mastery and strategic leadership to ensure our AI initiatives deliver high-impact, measurable business value.

What you’ll do:

Design and oversee the development of robust end-to-end ML architecture, from data ingestion and feature stores to model serving and monitoring.
Define the long-term roadmap strategy for our AI infrastructure and orchestration framework.
Oversee the design, implementation, and maintenance of our AI/ML ecosystem.
Design AI capabilities as extensible, self-service primitives (APIs, SDKs, standardized patterns) that let other domain teams build their own AI-powered features independently.
Set the standard for MLOps - you will ensure that our ML ecosystem is as testable, maintainable, and scalable as our core application code.
Cross-functional leadership - by working closely with Product Managers, Data Scientists and ML Engineers to translate business problems into concrete technical requirements.
Act as a force multiplier for the team by conducting high-level design reviews and mentoring engineers on system design and performance optimization.
Architect and evolve LLM-powered applications (e.g., copilots, search, assistants, agents), including RAG pipelines, tool integrations, and multi-step reasoning workflows.
Design and implement robust evaluation frameworks for GenAI systems, incorporating offline benchmarks, online metrics, and human-in-the-loop feedback.
Drive best practices for prompt engineering, agent design, and orchestration frameworks, ensuring maintainability and performance at scale.
Establish guardrails and safety mechanisms for GenAI applications, including prompt injection defenses, hallucination mitigation, and responsible AI practices.
Establish the golden path for model versioning, A/B testing, and automated rollbacks for identifying and mitigating drifts.
Ensure AI architectural strategy aligns with industry best practices and standards, complies with security policies and industry regulations.
Identify opportunities for process improvements and implement solutions to enhance platform performance and efficiency.

What you’ll bring:

Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field, or equivalent deep professional experience.
8+ years of software engineering experience, with at least 4+ years architecting and deploying ML models in production at scale.
2+ years in a technical leadership role on building scalable platforms, technology transformation and modernization initiatives.
Proven experience operating at a Staff or Senior level, including technical leadership, architecture ownership, and mentoring engineers.
Experience building internal platforms/self-service infrastructure for other engineering teams to build on, not just shipping product features directly.
Deep expertise in MLOps and production ML systems, including model training, evaluation, deployment, monitoring, and lifecycle management.
Strong experience with cloud platforms (AWS or Google Cloud), including designing and operating scalable, distributed AI/ML workloads.
Solid understanding of data architecture and data engineering, including data pipelines, feature engineering, data modeling, and large-scale data processing.
Experience with ML infrastructure and tooling, such as feature stores, experiment tracking, model registries, and orchestration frameworks.
Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), with strong software engineering fundamentals.
Experience with CI/CD and ML deployment pipelines, including automated testing, validation, and rollback strategies for ML systems.
Familiarity with LLM-based systems and GenAI applications, including systems design, evaluation strategies, and observability for non-deterministic systems.
Strong understanding of LLM architectures and trade-offs, including model selection, latency, cost, and quality optimization.
Experience with prompt engineering and prompt orchestration, including techniques like few-shot learning, chain-of-thought, and tool/function calling.
Experience designing and implementing RAG (Retrieval-Augmented Generation) systems, including embedding strategies, vector databases, and retrieval optimization.
Experience building agentic workflows, including multi-step reasoning, tool use, and orchestration frameworks (e.g., LangChain, LlamaIndex, ADK, or custom frameworks).
Strong understanding of system design for reliability and scalability, including distributed systems, APIs, and microservices architecture.
Knowledge of data governance, model governance, and responsible AI practices (security, privacy, bias, explainability).
Demonstrated ability to translate ambiguous business problems into scalable AI/ML solutions.
Excellent communication and collaboration skills, with the ability to influence stakeholders and drive cross-functional alignment.

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 About employer

More about this job

Responsibilities

You will serve as the technical anchor for AI and machine learning efforts, leading the end-to-end architecture of the GenAI strategy. This involves designing scalable systems for model training, deployment, and monitoring while acting as a force multiplier for the engineering team.

Requirements

The role requires 8+ years of software engineering experience with at least 4 years specifically in architecting and deploying production-grade ML models. Candidates must possess a degree in Computer Science or a related field and demonstrate deep expertise in MLOps, cloud platforms, and LLM-based systems.

Skills

Machine Learning
Artificial Intelligence
GenAI
MLOps
Python
System Architecture
Cloud Computing
LLM
RAG
Data Engineering
Distributed Systems
API Design
Technical Leadership
Prompt Engineering
Model Deployment
Software Engineering

Benefits

Flexible hybrid work environment
Employee resource groups
Purpose-driven work culture
Growth opportunities

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
GenAI
MLOps
Python
AWS
Google Cloud
TensorFlow
PyTorch
Scikit-learn
LLM
RAG
LangChain
LlamaIndex
Feature Stores
CI/CD
Distributed Systems
Microservices
Data Governance
Prompt Engineering
Model Registry
System Design
API
Software Engineering
Architecture
Scalability
Observability
Automation
Data Pipelines
Responsible AI

Report this job