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Added 5 mins ago
RB
Senior Software Developer, Workday Integrations & Extend
Royal Bank of Canada
Toronto, ON
- Full-time
As a Senior Software Developer, Workday Integrations & Extend, you will lead the technical design, development, and implementation of Workday solutions to meet complex HCM program…
Added 20 mins ago
T
QA Engineer- Salesforce Marketing Cloud (SFMC)
Tru
Toronto, ON
- Full-time
…and Product stakeholders to ensure solutions meet functional, technical, and business requirements before…
Added 1 hour ago
RD
Technical Project Manager - AI
Randstad Digital
Montreal, QC · Greater Montreal Metropolitan Area
- $70 to $90 CAD / hour
- Contract
A top-tier financial institution is seeking an accomplished Senior Technical Project Manager to orchestrate high-impact technology initiatives across enterprise data platforms, financial…
Added 1 hour ago
M
RQ11727 - Systems Testing/QA Specialist - Senior
Maarut
Toronto, ON
- Contract
of testing, including technical and business functional validation
Added 2 hours ago
IN
Microsoft Dynamics ERP Developer
IKO North America
Mississauga, ON
- Full-time
As a member of the IKO ERP Development team, the Microsoft Dynamics ERP Developer will be responsible for designing, developing, enhancing, and supporting enterprise Microsoft Dynamics ERP…
Added 2 hours ago
SI
Business Intelligence Analyst
Spait Infotech
Canada
- Full-time
Translate business requirements into technical specifications and analytical reports.
Added 2 hours ago
G
Application Release Engineer
Galent
Toronto, ON
- Contract
Hybrid Infrastructure: Manage a mix of cloud instances and bare-metal servers across AWS, Azure, and Google Cloud.
Added 2 hours ago
AC
Data Analytics Manager
Amphenol Communications Solutions
Markham, ON
- Full-time
…role combines people leadership, business partnership, and technical judgment, with a strong focus on BI, user adoption, continuous improvement, and analytics that support business growth.…
Added 2 hours ago
SI
DevOps Engineer
Spait Infotech
Canada
- Full-time
Manage cloud infrastructure using AWS, Microsoft Azure, or Google Cloud Platform.
Added 2 hours ago
SI
Software Developer
Spait Infotech
Canada
- Full-time
Participate in code reviews, technical discussions, and software design activities.
Added 2 hours ago
RC
Senior Data Engineer
RSM Canada
Calgary, AB
- Full-time
Proven experience with major cloud platforms such as Microsoft Azure, AWS or GCP
Added 3 hours ago
RS
Data Analyst III
Ryder System, Inc.
Halifax, NS
- Full-time
…operations team through a Power Bi experience. The Data Analyst's technical skills will be put to the test as they shape data into a crispy design through a smooth user experience. The Data…
Added 3 hours ago
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Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Maintain technical documentation to support system sustainability, reproducibility, and knowledge transfer.
Added 3 hours ago
M
RQ11753 - Data Analytical Specialist/Scientist - Senior
Maarut
Toronto, ON
- Contract
at communicating to both technical and non-technical audiences
Added 3 hours ago
M
RQ11819 - Software Developer - Senior
Maarut
Toronto, ON
- Contract
Required to translate technical systems specifications into
Added 4 hours ago
T
Senior .NET Software Developer – Azure, C#, ASP.NET & SQL Server
ThoughtStorm
Toronto, ON
- Contract
We're Hiring: Senior .NET Software Developer – Azure, C# & SQL Server
Added 5 hours ago
JR
Applied Machine Learning Scientist
Jump! Recruiters
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…company is recognized for the quality of its products, its technical expertise, and its human and collaborative corporate…
Added 5 hours ago
D
Developer, OpenText
Dollarama
Mont-Royal, QC
- Full-time
The OpenText Administrator / Developer is responsible for the administration, support, development, and continuous improvement of the organization's OpenText platforms. This role…
Added 5 hours ago
LI
Systems Testing/QA Specialist
Lotus IT Solutions
Toronto, ON
- Contract
Create and manage test data for technical and business functional validation across multiple testing phases
Added 6 hours ago
MD
Salesforce Application Supervisor - Systems Supervisor
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
- Full-time
…Salesforce Product Owner to balance business priorities with technical delivery roadmap. The supervisor ensures capacity, capability, and delivery practices are followed, supporting…
Added 6 hours ago
BR
IT Systems Administrator | Administrateur(trice) de systèmes informatiques
BUSAC Real Estate | BUSAC Immobilier
Montreal, QC
- Full-time
Founded in Québec in 1998 and part of New York-based JEMB Realty Corporation, BUSAC Real Estate is an investor, owner, developer and manager of office, retail and mixed-use properties in…
Added 6 hours ago
O
Senior Software Developer (Bilingual)
OpenText
Ottawa, ON
- Full-time
We are looking for a Senior Backend Software Developer to join our development team at OpenText. Our team builds and evolves a public, multi-tenant Software-as-a-Service (SaaS) cloud…
Added 6 hours ago
O
Sr. Software Developer (Bilingual)
OpenText
Ottawa, ON
- Full-time
We are looking for a Senior Backend Software Developer to join our development team at OpenText. Our team builds and evolves a public, multi-tenant Software-as-a-Service (SaaS) cloud…
Added 6 hours ago
VS
Senior Network Designer
vTech Solution Canada
Toronto, ON
- Contract
Provide technical expertise as required on any on-going network and network security initiatives
Added 6 hours ago
E
AI DevOps Specialist (AI Enablement & Secure DevOps)
Experis
Canada
- Contract
The AI DevOps Specialist is primarily responsible for the technical deployment, secure enablement, administration, and continuous optimization of the global HPS Artificial Intelligence (AI)…

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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