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Added 19 mins ago
TC
Full Stack Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
…navigated every technology cycle, from mainframes in the 1970s to artificial intelligence…
Added 35 mins ago
AM
Sr. Systems Design Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
AMD is looking for a systems integration engineer to provide thought leadership and subject matter expertise to our growing team. As a key contributor, you will have a strong technical…
Added 1 hour ago
MT
Process Engineer
Modern Technical Staffing Inc.
Guelph, ON
- $90,000 to $105,000 CAD / year
- Full-time
Our company does not use artificial intelligence to screen, assess, or select applicants for this position.
Added 1 hour ago
MT
Manufacturing Engineer
Modern Technical Staffing Inc.
Vaughan, ON
- $80,000 to $100,000 CAD / year
- Full-time
Our company does not use artificial intelligence to screen, assess, or select applicants for this position.
Added 1 hour ago
Graduate Environmental Scientist / Graduate Environmental Engineer
GHD Group Pty Ltd
Vancouver, BC
The use of artificial intelligence (AI) in recruiting is just getting started and may be used during the process to improve efficiency and fairness. Your application may be reviewed by both…
Added 3 hours ago
C
Union Assistant Shift Engineer
CBRE
Mississauga, ON
- Full-time
We value human interaction to understand each candidate's unique experience, skills and aspirations. We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask…
Added 3 hours ago
C
Union Assistant Shift Engineer
CBRE
Mississauga, ON
- Full-time
We value human interaction to understand each candidate's unique experience, skills and aspirations. We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask…
Added 3 hours ago
AM
Systems Design Engineer 2
Advanced Micro Devices, Inc
Markham, ON
- Full-time
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
Added 3 hours ago
K
Consultant, Cybersecurity
KPMG
Calgary, AB
- Full-time
…cloud certifications such as Azure Fundamentals, Azure Security Engineer, AWS Technical Essentials or…
Added 3 hours ago
M
Dynamics 365 CRM Solution Engineer
Microsoft
Calgary, AB · Edmonton, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
Our purpose is to empower organizations to transform the way they work by harnessing the full potential of artificial intelligence. We guide customers through the evolving digital…
Added 5 hours ago
F
Senior Machine Learning Engineer
Fusemachines
Remote, Canada
- Contract
- Remote
We’re hiring a Senior Machine Learning Engineer to architect, build, and deploy high-performance machine learning systems that power technology stack. You will work across the entire ML…
Added 8 hours ago
S
Enterprise Sales Engineer - Majors, Financial Services
Sierra
Toronto, ON
- $355,000 to $365,000 CAD / year
- Full-time
Added 8 hours ago
S
Enterprise Sales Engineer - Majors, Healthcare
Sierra
Toronto, ON
- $325,000 to $335,000 CAD / year
- Full-time
Added 8 hours ago
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Quality Assurance Specialist
Gastops
Ottawa, ON
- Contract
Added 8 hours ago
EN
Principal Wireless SW Engineer
Extreme Networks
Toronto, ON
- Full-time
The Principal Wireless Software Engineer is a senior technical leader responsible for resolving the most complex and business-critical customer issues escalated through the Global Technical…
Added 8 hours ago
Engineer
Toronto Hydro
Toronto, ON
Reporting to the Manager, Engineering, Engineering Policy and Product Change, the Engineer is responsible for providing a broad range of engineering support services to ensure the technical…
Added 9 hours ago
K(
Founding Product Manager
Klarify (YC P26)
Canada
- Full-time
You'd join Moody (CEO), Bergie (CTO) and Zach (founding engineer) as one of our first hires. You'll own product and work directly with the CEO, with a focus on adoption and expansion:…
Added 9 hours ago
K(
Head of Product
Klarify (YC P26)
Canada
- Full-time
You'd join Moody (CEO), Bergie (CTO) and Zach (founding engineer) as our first product leader. You'll own product strategy and work directly with the CEO on where the product goes next.…
Added 9 hours ago
S
Software Engineering SMTS
Salesforce
Toronto, ON · Canada - Toronto
- Full-time
…and act on the right data.We are looking for a Lead Software Engineer to help us build agentic experiences for product setup and configuration. You will help design a core agent framework,…
Added 9 hours ago
IG
Network Operations Engineer
Insight Global
Vancouver, BC
- $65 to $75 CAD / hour
- Contract
Artificial intelligence tools are used to assist in screening and assessing applicants for this position.
Added 9 hours ago
B
Software Engineer - Dedicated Inference
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
As an Engineer on the Dedicated Inference team, you'll shape the state-of-the-art developer experience for deploying and operating AI workloads in production. From the CLI and SDKs to APIs,…
Added 9 hours ago
B
Software Engineer - Dedicated Inference
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
As an Engineer on the Dedicated Inference team, you'll shape the state-of-the-art developer experience for deploying and operating AI workloads in production. From the CLI and SDKs to APIs,…
Added 9 hours ago
A
Electrical Engineer
Actalent
Toronto, ON
- $52 to $72 CAD / hour
- Full-time
Job Title: Lead Electrical Engineer - Renewable Energy Projects
Added 9 hours ago
B
Forward Deployed Engineer
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
As a Forward Deployed Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own…
Added 9 hours ago
A
Electronics Engineer
Actalent
Oakville, ON
- $40 to $50 CAD / hour
- Contract
We are seeking a hands-on Electronics Engineer to support the testing, troubleshooting, and development of electronic hardware and devices. In this role, you will work closely with a…

Safe Fleet

Senior AI Engineer

Coquitlam, BC, Canada

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

Apply About employer

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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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