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Added 1 hour ago
E
AI DevOps Specialist (AI Enablement & Secure DevOps)
Experis
Canada
- Contract
● Google Cloud Professional DevOps Engineer or Professio
Added 2 hours ago
UC
AI Developer
UniSysTech Consulting
Toronto, ON · Greater Toronto and Hamilton Area, ON
- Other
…is the primary priority for this role. We are looking for an engineer who excels at utilizing modern AI frameworks, LLMs, and intelligent automation to solve complex back-end…
Added 2 hours ago
A
Gen AI Engineer (Python,RAG, LangChain, LangSmith)
Apptad
Montreal, QC
- Full-time
The Role: GEN AI Engineer (Python,RAG, LangChain, LangSmith)
Added 2 hours ago
SF
Senior AI Engineer
Safe Fleet
Coquitlam, BC
- Full-time
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…
Added 2 hours ago
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Senior WMS Implementation Engineer
Hays
Canada
- $95 to $100 CAD / hour
- Contract
Added 2 hours ago
ET
Senior AI/ML Engineer
Envision Technology Solutions
Canada
- Contract
The Senior AI/ML Platform Engineer will build, productionize, and operate AI/ML solutions on Azure Databricks platform.
Added 2 hours ago
T
Technical Lead AI Delivery
TechDoQuest
Brampton, ON
- Contract
Added 3 hours ago
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Technical Lead - AI Delivery
Yochana
Brampton, ON
- Contract
Added 3 hours ago
N
Software Engineer 2 - Kubernetes Backend and Platform Engineering
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
As an Engineer on the NKP AI Platform team, you will be a key technical leader responsible for architecting, building, and scaling the infrastructure that allows enterprises to train,…
Added 3 hours ago
O
Senior Technical Program Manager
OpenMined
Remote, Canada
- $127,000 to $159,000 USD / year
- Contract
- Remote
Added 3 hours ago
GD
System Integration & Test, Intermediate
General Dynamics Mission Systems–Canada
Calgary, AB
- Full-time
General Dynamics Mission Systems-Canada is looking for a System Integration & Verification Engineer (SI&V) to join the Bowman product development team in Calgary, to support ongoing future…
Added 6 hours ago
A
Software Engineer - Factory Apps - Intern
Altera
Toronto, ON
- Full-time
Added 8 hours ago
GD
System Integration & Test, Intermediate
General Dynamics Missions System International
Calgary, AB
- Full-time
General Dynamics Mission Systems-Canada is looking for a System Integration & Verification Engineer (SI&V) to join the Bowman product development team in Calgary, to support ongoing future…
Added 10 hours ago
Senior Forward Deployed AI Engineer
Bell
Mississauga, ON
As a Senior Forward-Deployed AI Engineer, you will own engagements end-to-end: scoping the problem, choosing the right approach across automation, classical ML, and GenAI/agents, and taking…
Added 10 hours ago
Sr. AI Researcher, Agentic Systems
OpenSpace
Canada
The Sr. AI Research Engineer will build agentic systems that reason across the full OpenSpace data record: 360° imagery, point clouds, BIM models, drawing sets, and specifications, plus the…
Added 11 hours ago
Staff Software Engineer, Identity Threat Protection
Okta
Toronto, ON
Okta is seeking a Staff Software Engineer to be a driving force on the ITP engineering team. This is your chance to dive into the deep end and solve the most critical and complex security…
Added 11 hours ago
VV
AI/ML Engineer 1016
Veracity Ventures Inc.
Remote, Canada
- Full-time
- Remote
Added 11 hours ago
SG
Sr. Forward Deployed Engineer
Software Guidance & Assistance, Inc. (SGA, Inc.)
Mississauga, ON
- Full-time
Software Guidance & Assistance, Inc., (SGA), is searching for a Sr. Forward Deployed Engineer for a right to hire assignment with one of our premier financial services clients in…
Added 13 hours ago
Senior AI Engineer, IT Solutions 1 1
Celestica International LP
Toronto, ON
We are seeking a highly motivated and technically proficient AI Engineer to join our growing Data & Analytics team. In this role, you will be a key liaison between business stakeholders and…
Added 13 hours ago
DF
Full-Stack Automation Engineer
DUCA Financial Services Credit Union Ltd.
Toronto, ON · North York, ON
- Full-time
DUCA is looking for a Full-Stack Automation Engineer to join our growing team!
Added 13 hours ago
SF
Senior AI Engineer
Safe Fleet
Coquitlam, BC
- Full-time
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…
Added 21 hours ago
N
Software Engineer 4 - Kubernetes AI Platform Engineering
Nutanix
Vancouver, BC
- $151,000 to $227,000 CAD / year
- Full-time
As an Engineer on the NKP AI Platform team, you will be a key technical leader responsible for architecting, building, and scaling the infrastructure that allows enterprises to train,…
Added 1 day ago
C
Agentic AI Architect
CGI
Toronto, ON
- Full-time
Helping data engineer and prompt engineer the LLM solutions end-to-end to enhance end user experience
Added 1 day ago
AI
Senior Power Platform Engineer
Aptino, Inc.
Quebec, QC
- Contract
We are looking for an experienced Senior Microsoft Power Platform Engineer with expertise in Power Apps, Power Automate, AI Builder, Copilot Studio, Dynamics 365, and Azure AI technologies.
Added 1 day ago
WT
Workforce Authentication Engineer
Wissen Technology
Montreal, QC
- Full-time

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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