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Added 1 min ago
A
Agent Method // Methods Agent
Actalent
Mirabel, QC
- $35 to $60 CAD / hour
- Contract
Interpret, verify, and approve drawings and other documents from the engineering department.
Added 2 mins ago
TS
Data Engineer
The Semios Group
Remote, Canada
- $95,000 to $115,000 CAD / year
- Full-time
- Remote
…trusted, analysis-ready datasets. You will work closely with our Engineering and Data Science teams to optimize data pipelines, integrate diverse data sources, and build AI-ready data…
Added 2 mins ago
ZC
Senior Full Stack Developer (Angular & Java)
Ztek Consulting
Montreal, QC
- Full-time
You will support and lead different phases of the product lifecycle including analysis, development, and testing.
Added 2 mins ago
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Product Manager - Ceilings
CertainTeed
Mississauga, ON
- Full-time
We are seeking a strategic and commercially driven Product Manager, Ceilings to lead the growth and profitability of our ceilings product portfolio. This role develops and executes product…
Added 2 mins ago
TM
Senior Electrical Engineering Specialist
Trudell Medical International
London, ON
- Full-time
The Senior Electrical Engineering Specialist is responsible for leading the electrical development activities for advanced medical device products while providing technical leadership of…
Added 2 mins ago
A
Hardware Compliance Engineer
Actalent
Ottawa, ON
- $90,300 to $140,000 CAD / year
- Full-time
…requirements, mitigate compliance risks, guide design decisions, and lead verification and validation activities in both internal and external laboratory…
Added 2 mins ago
P
DevOps Team Lead
Pixieset
Vancouver, BC
- Full-time
We’re hiring a DevOps Team Lead to lead our DevOps team's day-to-day planning and delivery while staying hands-on in the engineering work. You'll bring clarity to priorities and ownership,…
Added 17 mins ago
C
Forward Deployed Engineer, Infrastructure Specialist (North America)
Cohere
Remote, Canada
- Full-time
- Remote
…real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI…
Added 17 mins ago
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Manager, Technical Consulting
Staffbase
Canada
- $105,000 to $141,000 CAD / year
Collaborate with Product, Engineering, and Support to identify recurring technical issues and drive improvements in tooling, documentation, and product readiness
Added 31 mins ago
TG
Area Manager/ Chef de section
The Goodyear Tire & Rubber Company
Salaberry-de-Valleyfield, QC
- Full-time
Maintain the smooth and timely flow of plant production ensuring a quality product is delivered to the next operation and customer. Achieve the business goals of the operation including…
Added 31 mins ago
Project Manager
ERCO Worldwide
Saskatoon, SK
…projects to improve process safety, operations, efficiency, product quality, environmental control, and costs. They carry projects from design through installation and evaluation. The…
Added 31 mins ago
AG
Senior SAP S/4HANA Basis Consultant
Addmore Group
Oshawa, ON
- Full-time
Role: Reporting to the Manager, IT Product Delivery, this position is responsible to partner with business, compliance, and technical teams to delivery secure access, maintain strong…
Added 31 mins ago
T
AVP, Technology Portfolio Management, Transaction Banking & Payments, TD Securities
TD
Toronto, ON
- Full-time
…strategy into executable technology priorities in partnership with Product, Operations and…
Added 32 mins ago
MI
Quality Engineer
Marmon Industrial Water
Burlington, ON
- Full-time
As a Quality Engineer, you will act as the project Quality Lead for new projects and maintain responsibility for performing the project’s Quality documentation, and inspection activities.…
Added 32 mins ago
NM
Reliability Engineering
Natus Medical Incorporated
Oakville, ON
- Full-time
Lead cross-functional product reliability planning across Hardware, Firmware, Software, Systems Engineering, Quality, Manufacturing, and Service teams.
Added 32 mins ago
SG
Data Engineer
Semios Group
Vancouver, BC
- $95,000 to $115,000 CAD / year
- Full-time
…trusted, analysis-ready datasets. You will work closely with our Engineering and Data Science teams to optimize data pipelines, integrate diverse data sources, and build AI-ready data…
Added 46 mins ago
C
Product Owner, Internet Product Lifecycle Management
Cogeco
Burlington, ON · Montreal, QC · Trois-Rivières, QC
- Full-time
The Product Owner, Internet Product Lifecycle Management, is responsible for defining and executing the internet and broadband product strategy for Cogeco and Breezeline. In this role, you…
Added 1 hour ago
Electrical/Electronic Design Engineer
National Research Council Canada
Ottawa, ON
NRC Automotive and Surface Transportation (AST) Research Centre has the mandate to advance product and process technologies for producing more efficient, safe, affordable and…
Added 1 hour ago
P
Sr. React Native Engineer | US/Canada
Pack.com
Remote, Canada
- Remote
…We are looking for an elite Senior React Native Engineer to lead the engineering of our iOS and Android mobile apps from development builds through app store…
Added 1 hour ago
UI
Partner Integrations Lead
Upgrade, Inc.
Montreal, QC
- Full-time
Upgrade is looking for a Partner Integrations Lead for our Home Improvement product platform. In this pivotal role, you'll own and drive key partner onboarding initiatives, shaping seamless…
Added 1 hour ago
ML
Material Supply and Planning Manager
Maple Leaf Foods Inc
Winnipeg, MB
- Full-time
…production plans. The manager connects demand, plant capacity, product mix, material availability, inventory health, and operational constraints to ensure risks are identified early and…
Added 1 hour ago
T
Chief Growth Officer
TechBlocks
Vaughan, ON
- Full-time
We are a global product and platform engineering company, headquartered in Toronto, with around 1,000 engineers across North America and India. We have been building software for fifteen…
Added 1 hour ago
AR
Tooling Engineer Manager - Injection Mold - Automotive (35792)
Activ8 Recruitment & Solutions
Woodstock, ON
- $90,000 to $130,000 CAD / year
- Full-time
We are seeking an experienced Tooling Engineering Manager to lead the design, development, maintenance, and continuous improvement of injection molds and tooling systems. This position will…
Added 1 hour ago
HA
Intern Bachelors Test Eng
Honeywell Aerospace
Ottawa, ON · Kanata, ON
- Full-time
…Engineer Intern, primary responsibility will be to develop product test software/hardware and/or test equipment software/hardware and to validate/verify test cases and testing coverage at…
Added 1 hour ago
Test Automation Developer
Christie Digital Systems Inc.
Kitchener, ON
Collaborate with the Test Automation Lead as well as QA and Dev teams to design, build, implement, maintain and support test automation environments, frameworks and harnesses

Safe Fleet

Senior AI Engineer

Coquitlam, BC, Canada

Salary Range: $120,000 - $135,000/yr · Full-time

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Job details

Pay: Salary Range: $120,000 - $135,000/yr
Job type: Full-time
Apply by: Oct 29, 2027
Experience: 6+ years of professional software engineering experience, with strong system design and software architecture skills.
Posting language: English
Posted: Oct 29, 2026

Original job description

Meet The Smart Safety Company

At Safe Fleet our name says it all. We make fleet vehicles – and everyone in and around them – safer. Our fleet safety platform brings together best-in-class products, ground-breaking technology, and a 100-year history of fleet know-how and innovation to solve the world’s biggest fleet safety problems.

Our core value is safety. Without safety first, efficiency and productivity are not possible. This is true for our products, our culture, and our relationship with our community. Our vision is to reduce preventable deaths and injuries in and around fleet vehicles with a goal of ZERO accidents.

We are re-defining what safety means for fleets of every type – from school buses to waste collection trucks, firefighting to utility vehicles, police cruisers to delivery vans.

Whether you work in our Charlotte plant to build life-saving stop arms for school buses, or design advanced camera vision products in our Vancouver office, forge valves and high-quality nozzles to fight fires, or dream up new ways to protect fleet operators in our Corporate HQ in Kansas City, you’ll contribute to our goal to keep everyone safe.

We are a fast-growing manufacturing, service, and technology company with over 1700 employees in over 15 locations across Canada and the US. We’re looking for motivated self-starters with innovative thinking to join our team and help us achieve our growth and performance goals. Sound like you?

About This Role

We are looking for a hands-on Senior AI Engineer to build the platform that makes that possible - the shared services, agent framework, standards and tooling that allow every engineer on the team to build and operate AI agents of their own.

This is a builder and enabler role, not a research role. You will modernise our AI stack, create reusable AI services and agent infrastructure, automate critical operational workflows, and raise the AI capability of the engineers around you. Success is measured by what the rest of the team can build because of the foundation you put in place.

You will also apply AI-Native Engineering and Agentic SDLC practices to your own work - using AI coding agents, Spec-Driven Development and automation to accelerate delivery while holding a high bar for quality, security and maintainability - and establish those practices as the team standard.

From time to time you may contribute to customer-facing AI capabilities in our product portfolio, but the centre of this role is internal platform, enablement and automation.

Responsibilities

AI Platform and Shared Services

Build the foundation other engineers build on - reusable AI services, agent scaffolding, shared libraries, prompt and context management, and integration patterns that let the team create agents without reinventing the groundwork.
Modernise and own SafeFleet’s AI stack: model selection and routing, provider abstraction, cost and token governance, and a clear upgrade path as the technology moves.
Design and implement RAG architectures, retrieval and indexing pipelines, and the data access patterns agents depend on.
Build Model Context Protocol (MCP) servers and tool integrations that expose internal systems safely to agents.
Establish AI evaluation, observability and guardrails - eval harnesses, regression testing for prompts and agents, tracing, quality and cost monitoring in production.
Develop robust backend services and APIs that make AI capability consumable across teams.

Operational Automation

Automate critical operational workflows using AI - partnering with teams across Cloud Engineering to identify high-toil processes and replace them with reliable, auditable agent-driven automation.
Build agents and workflows that support areas such as diagnostics, triage, routine remediation, documentation and operational reporting.
Define governance for autonomous action: guardrails, human-in-the-loop checkpoints, failure modes and auditability.

Enablement and Technical Leadership

Mentor the engineering team on its AI journey - through pairing, workshops, documented patterns, internal guides and worked examples that move the whole group forward.
Set AI engineering standards: architecture patterns, prompt and agent design conventions, testing expectations, security and data-handling practice.
Lead architecture and design discussions, review AI-related work, and act as the technical reference point for AI across Cloud Engineering.

AI-Native Engineering and Agentic SDLC

Apply AI-Native Engineering throughout the development lifecycle, using AI coding agents, Spec-Driven Development and automation to accelerate delivery.
Build custom AI coding agents, reusable agent skills and automated workflows for implementation, testing, verification, code review and release.
Integrate agent-assisted verification into CI/CD, and continuously improve Agentic SDLC practice as a team-wide standard.

Salary Range: $120,000 - $135,000/yr

The final offer will be determined based on a combination of factors including skills, experience, and alignment with the role’s responsibilities.

Candidates at the lower end of the range will meet the core qualifications and demonstrate strong potential to grow within the role.
Mid-range offers reflect a solid match with the role’s technical and collaborative requirements.
Offers at the top of the range are reserved for candidates who bring exceptional qualifications, specialized expertise, or unique value that significantly exceeds the baseline expectations

At Safefleet, we are an equal opportunity employer that is committed to creating a diverse and inclusive workplace where everyone is valued and respected. We embrace diversity and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other legally protected status. We promote fair and equitable hiring practices and foster a culture of inclusivity and respect. Our core values of integrity, innovation, teamwork, customer focus, and safety guide our efforts to provide a workplace where all employees can thrive and reach their full potential.

Requirements:

6+ years of professional software engineering experience, with strong system design and software architecture skills.
Proven hands-on experience building and deploying AI-powered systems in production - not prototypes or proofs of concept.
Solid command of LLMs and transformer-based models, prompt engineering, RAG architectures, AI agents and workflow orchestration.
Experience with modern AI platforms and services such as Azure OpenAI, OpenAI, Claude, Google Gemini or equivalent.
Strong backend and cloud engineering experience, with hands-on Microsoft Azure - our primary environment. Substantial AWS or GCP background is considered where it transfers.
Practical knowledge of Data Science and Machine Learning fundamentals, including model evaluation and performance trade-offs.
Proficiency with AI coding agents such as Claude Code, GitHub Copilot, Cursor or equivalent, used as part of your daily engineering practice.
Hands-on experience with AI-Native Engineering and Agentic SDLC - Spec-Driven Development, agent-assisted implementation, automated testing and verification, and development automation.
Demonstrated ability to enable others - mentoring engineers, writing the patterns and documentation people actually use, and raising the technical capability of a team.
Strong problem-solving, communication and cross-functional collaboration skills, including advanced English for technical discussion with distributed teams and senior stakeholders.

Preferred

Experience building reusable AI services, shared AI platforms or internal developer platforms.
Experience with AI agent orchestration frameworks and production ML pipelines.
Experience with Model Context Protocol (MCP), local or self-hosted models, and Hugging Face.
Experience developing custom AI coding agents, reusable agent skills, automated verification and CI/CD integration.
Experience applying AI to infrastructure, operations or reliability workflows.
Experience with Computer Vision, image or video analytics, deep learning or predictive Machine Learning.
Experience delivering AI-powered features in commercial software products.
Familiarity with Agile delivery and experience in regulated or security-conscious environments.

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More about this job

Responsibilities

Build and maintain shared AI platform services, agent frameworks, RAG pipelines, integrations, and operational automation, with appropriate evaluation, observability, security, and governance. Establish AI engineering and Agentic SDLC standards, mentor engineers, and enable teams to build and operate reliable AI agents.

Requirements

Requires at least six years of software engineering experience, production experience building AI systems, strong backend and cloud engineering skills, and hands-on experience with Azure and modern LLM platforms. Candidates should also have practical experience with AI coding agents and Agentic SDLC practices, plus the ability to mentor engineers and collaborate across teams.

Skills

AI Platform Engineering
Large Language Models
Retrieval-Augmented Generation
AI Agent Development
Backend Engineering
Microsoft Azure
Prompt Engineering
Model Evaluation
Cloud Engineering
System Design
AI Workflow Orchestration
Model Context Protocol
AI Coding Agents
Spec-Driven Development
CI/CD
Technical Mentoring

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Large Language Models
Transformer Models
Retrieval-Augmented Generation
AI Agents
Agent Frameworks
Workflow Orchestration
Microsoft Azure
Azure OpenAI
OpenAI
Claude
Google Gemini
Model Context Protocol
RAG
Prompt Engineering
Model Evaluation
Observability
Guardrails
Backend Services
Cloud Engineering
AI Coding Agents
Claude Code
GitHub Copilot
Cursor
Spec-Driven Development
Agentic SDLC
CI/CD
Machine Learning
Computer Vision
Hugging Face

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