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Added 1 hour ago
YC
Senior Developer, D365
Yoush Consulting
Toronto, ON
- Full-time
As a Senior Developer, Dynamics 365 your responsibilities will include:
Added 1 hour ago
NB
CHIEF DEVELOPER FULLSTACK - PYTHON
National Bank of Canada
Montreal, QC
- Full-time
A career as a Full Stack Developer on the Information Technology Delivery – Capital Markets team at National Bank means acting as a specialist in software development and cloud solutions.…
Added 1 hour ago
Salesforce Technical Architect - Financial Services Cloud, Marketing Cloud & Data360 - Manager
EY
Toronto, ON · Montreal, QC
We're looking for a senior, hands-on technical architect - someone with deep Financial Services Cloud implementation experience who still configures, codes, and builds, not just designs on…
Added 3 hours ago
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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 7 hours ago
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Software Engineer - Model Performance Systems
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
…applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing…
Added 7 hours ago
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Software Engineer - Model Performance Systems
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
…applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing…
Added 8 hours ago
C
Application Programmer
Collabera
Mississauga, ON
- $70 to $80 USD / hour
- Full-time
We are seeking an experienced Senior Forward Deployed Engineer (FDE) with strong expertise in Java, Python, backend/full-stack development, and solution architecture. The ideal candidate…
Added 11 hours ago
TC
M365 (Microsoft) – Tech Lead
Tata Consultancy Services
Vancouver, BC
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 11 hours ago
TC
Technical Business Analyst
Tata Consultancy Services
Montreal, QC
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 11 hours ago
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Senior Full Stack Developer – FHIR, Java, Node.js, AWS & Healthcare Integration
ThoughtStorm
Toronto, ON
- Contract
Hiring: Senior Full Stack Developer – FHIR & Healthcare Integration
Added 11 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 11 hours ago
LM
Senior Software Engineer - Product Lead - ISS Team
Lockheed Martin
Ottawa, ON
- $102,750 to $134,750 USD / year
- Full-time
Proven Full-Stack development experience throughout the software engineering processes from planning, design, development to deployment.
Added 11 hours ago
C
Senior Software Developer
Cavtera
Ottawa, ON · Kanata, ON
- Full-time
We’re looking for a Senior Software Developer to join Cavtera’s growing development team.
Added 11 hours ago
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Senior Full-Stack Engineer / Technical Lead - Onsite
Cognizant
Toronto, ON
- Full-time
We are looking for an experienced Senior Full-Stack Engineer / Technical Lead to design and develop scalable enterprise applications and cloud-native solutions. The ideal candidate will…
Added 11 hours ago
MI
FHIR Integration Engineer/Full Stack Engineer (Healthcare) 7+ years of experience
Maarut Inc
Toronto, ON
- Contract
Senior-level experience developing Java and Node.js services, REST APIs, FHIR integrations, event publishers and consumers, and production application logic.
Added 11 hours ago
LM
Senior Software Engineer - Product Lead
Lockheed Martin
Ottawa, ON
- Full-time
Proven Full-Stack development experience throughout the software engineering processes from planing, design, development to deployment.
Added 11 hours ago
N
Software Engineer 2 - Kubernetes Backend and Platform Engineering
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
…the market every day, new standards are becoming mature at full…
Added 12 hours ago
SC
AI Enablement Specialist
Smart Circle International
Richmond Hill, ON
- $90,000 to $100,000 USD / year
- Full-time
Job Details: Job Location: Toronto Office - Richmond Hill, ON, Position Type: Full Time, Education Level: 4 Year Degree, Salary Range: $90000.00 - $100000.00Salary/year, Job Category: IT…
Added 12 hours ago
M
Senior Software Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
We are looking for a Senior Software Engineer to join our Affinity Life technology team. In this hands-on role, you will design, develop, modernize, and support mission-critical enterprise…
Added 13 hours ago
IG
Lead Full Stack Developer
Insight Global
Toronto, ON
- $50 to $70 CAD / hour
- Contract
Insight Global is seeking a hands-on Lead Full Stack Developer to support a major KYC transformation initiative within a large banking environment. This role will focus on both modernizing…
Added 14 hours ago
C
Full Stack Senior Engineering Lead - Inventory Orchestration
Citi
Mississauga, ON
- Full-time
A Full Stack Senior Engineering Lead - Inventory Orchestration is a senior-level position responsible for leading the solutioning, design, and implementation of microservice-based…
Added 14 hours ago
IF
Senior Full stack AI Developer (Python & Angular/React)
Intact FC
Toronto, ON · Montreal, QC
- Full-time
We’re looking for a Senior Full stack AI Developer (Python & Angular/React) to join our growing team!
Added 15 hours ago
V
Staff Software Developer, Simulation / Développeur(se) logiciel principal(e), Simulation
Vention
Montreal, QC
- Full-time
In this role, you will own the architecture of the simulation platform in Vention’s web-first technology stack. The platform uses MuJoCo as its physics engine. Your focus is how we…
Added 15 hours ago
Senior, Cloud Engineering
Scotiabank
Toronto, ON
The Senior, Cloud Engineering role operates within the Cloud Platform Engineering team. This role specializes in Cloud Developer Experience (DevEx) Engineering, focusing on building tools,…
Added 15 hours ago
S
Senior Full-Stack Web Developer (C#/MS-SQL/Front-end) - Western Canada
Splashdot
Remote, Canada
- $110,000 to $140,000 CAD / year
- Full-time
- Remote
Senior Full-Stack Web Developer (C#/MS-SQL/Front-end) – Western Canada

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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