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Jobs Hiring Near Me: Curated AI Engineer Jobs in Canada

Searching for career opportunities hiring near you? Explore the top 10 direct-hire AI Engineer openings available in Canada. To fully optimize your speed-to-market advantage, link your target choices to our background Auto Apply application infrastructure and let the engine complete manual pipeline touchpoints for you.

#1 • Active Hiring

AI Computer Vision Engineer - AssistIQ

📍 Canada Remote Available
As a Computer Vision/AI Engineer at AssistIQ, you will design and develop reliable, maintainable, and scalable CV systems. You'll apply computer vision and machine learning to real-world challenges, integrating classical CV techniques and deep learning into production-ready products. Your ultimate goal is to ensure we build new functionality in a pragmatic, scalable, and manageable way.
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#2 • Active Hiring

Senior AI Engineer, MapGPT @ Mapbox

📍 Canada
Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.
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#3 • Active Hiring

Applied AI Engineer (JavaScript, Intermediate to Senior ...

📍 Canada Remote Available 💵 $50/hr - $65/hr
We are SimpliCity, a Vancouver-based GovTech startup building technology with purpose. Our core product is a composable content management system (CMS) that unifies municipal digital services, transforming a municipality’s website from a static library into a connected 'front door' for the community. We value diversity, curiosity, and continuous learning and improvement.
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#4 • Active Hiring

Principal AI Engineer - PointClickCare

📍 Canada Remote Available 💵 $70,000 - $125,000
This role involves remote work with occasional in-office events. The primary focus is on designing, documenting, and implementing enterprise AI platform architectures, including reference implementations for agentic systems, RAG pipelines, and multi-modal AI applications. Additionally, the candidate should lead technical evaluations and vendor assessments for AI infrastructure components and establish architectural governance for AI/ML workloads.
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#5 • Active Hiring

Senior AI Engineer - Charger Logistics Inc - Application

📍 Canada
Charger logistics Inc. is a world-class asset-based carrier with locations across North America, offering over 20 years of experience in providing the best logistics solutions and transforming into a world-class transport provider. This role involves contributing to the development of AI-driven solutions for various departments by building production AI agents and MCP integrations that automate real-world logistics workflows such as dispatch, billing, compliance, and fleet operations.
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#6 • Active Hiring

Senior AI Engineer - Charger Logistics Inc

📍 Canada
Charger logistics Inc. is a world-class asset-based carrier with locations across North America. With over 20 years of experience providing the best logistics solutions, Charger logistics has transformed into a world-class transport provider and continue to grow. We are looking for a highly motivated AI Engineer to join our team based out of our Brampton office and contribute to the development of AI-driven solutions for various departments. This role focuses on building production AI agents and MCP (Model Context Protocol) integrations that automate real logistics workflows—dispatch, billing, compliance, and fleet operations—improving the reliability, transparency, and efficiency of AI applications in real-world, high-stakes environments.
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#7 • Active Hiring

AI Engineer - Valsoft Corporation - Application

📍 Canada Remote Available
At Pinpoint Global, we build training and compliance platforms that organizations rely on to keep their teams skilled, certified, and audit-ready. We're part of the Valsoft Edelweiss Software Group — a large-scale portfolio of vertical market B2B SaaS companies — and operate with a startup mindset: high ownership, high velocity, and real ROI. Our core stack is ASP.NET MVC + MS SQL — battle-tested and ready to evolve. We're looking for true builders: engineers who orchestrate systems, ship production-grade AI, and modernize massive legacy codebases at speed.
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#8 • Active Hiring

Backend AI Engineer @ Nexxa.AI

📍 Canada Remote Available 💵 $120,000 - $150,000
Nexxa is building the best AI systems for heavy industries, enabling machines, systems, and operations to think, decide, and act autonomously across manufacturing, large-scale infrastructure, logistics, and legacy environments. This role involves designing, building, and owning core AI infrastructure and services that power Nexxa's products in production. It requires backend software engineering skills, ML infrastructure expertise, and systems architecture knowledge.
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#9 • Active Hiring

Jobgether - Senior AI Developer

📍 Canada
A senior engineering position focused on designing and delivering production-grade AI solutions for complex enterprise workflows. The role involves working at the intersection of AI architecture, backend engineering, data pipelines, and real-world product delivery. You'll build intelligent systems including agent-based architectures, RAG and GraphRAG pipelines, semantic search, and AI-powered document workflows. This is an ideal environment for an experienced AI developer who enjoys ownership, experimentation, and turning emerging technologies into reliable production systems.
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#10 • Active Hiring

Applied AI Engineer @ MaintainX (An Autodesk Company)

📍 Canada 💵 $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures
MaintainX is the world's leading AI-powered maintenance and asset management platform. The role involves owning Document Intelligence, turning multimodal primitives into schema-valid entities like SOPs, designing and iterating recipe prompts, defining target schemas and domain validators, building generation-quality eval datasets, assembling context windows from keyframes, transcripts, and OCR, choosing model and token budgets based on quality, cost, and latency tradeoffs, and reporting to the Engineering Lead.
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