As of November 7, 2026, Jobsy lists 21 applied ai engineer jobs in Canada. The most active employers are Urban Ridge Supplies, Clariti Cloud Inc. and Modaxo Inc. Skills often requested: python, ml, communication skills and microsoft azure.
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Candidates need experience shipping LLM or machine learning software to real production users, plus a systematic approach to evaluating model and agent quality. They must treat cost and latency as engineering constraints and communicate technical trade-offs clearly to engineers, product teams and customers.
Candidates need experience shipping LLM or machine learning software to real production users, and a habit of judging AI quality through evaluation rather than prompting alone. Strong communication and a pragmatic focus on outcomes are expected. Python or C#/.NET skills are an asset.
3+ YOECandidates need 3+ years of software or AI engineering experience, including at least one LLM-based agent used by real users. Strong Python, hands-on Amazon Bedrock and AgentCore experience, and experience designing evaluations for non-deterministic AI systems are required.
Candidates need a PhD with 0-2 years of experience, a Master's with 4+ years, or a Bachelor's with 5+ years of relevant industry experience. Strong Python, LLM application and agentic system skills are required.
5+ YOECandidates need 5+ years of professional software development experience, strong Python and backend API skills, and hands-on experience running LLMs in production. They also need a data science or statistics background, experience leading projects, and comfort with AI-assisted development tools.
Nesto Group(e): With its headquarters in Ajman, the company has 100+ outlets in the GCC locations and employs over 10000 people of various nationalities.
5+ YOECandidates need 5+ years of professional software development experience, strong Python and backend API skills, and hands-on experience running LLMs in production. They also need a data science or statistics background, testing and agile fundamentals, and experience leading projects or a technical lead role.
5+ YOEnesto needs a senior engineer with 5+ years of professional software development, strong Python and backend API skills, and hands-on experience running LLMs in production. Candidates should also have a data or statistics background, project or technical lead experience, and solid testing and agile practices.
7+ YOECandidates need 7 to 10 years of applied AI and ML experience in industry, including shipping systems alone or as the lead AI expert. They also need strong Python, deep learning frameworks, MLOps, agentic and LLM application experience, and computer vision skills.
Inviso: Inviso is a growing technology consulting firm that offers a wide range of business services for small to enterprise organizations across industries.
Candidates need experience shipping LLM, ML or RAG-based software to real users and designing agent or AI workflow systems. They also need strong software engineering skills, evaluation methods and collaboration skills for client-facing work.
Cost management, ML, Workflow, Communication skills, Collaboration, Microsoft Azure
Derivative Path needs candidates with hands-on experience building with LLMs, such as RAG, agents or fine-tuning, plus data engineering and Python with AI frameworks. Production AI or MLOps experience and cloud platform knowledge are also wanted, and financial derivatives knowledge is a bonus.
10+ YOECandidates need 10+ years in AI/ML engineering, at least 2 years in financial services or a regulated industry, and a track record of production AI deployments. Strong Python, LLM and agent framework skills, plus AWS and Azure experience, are required.
3+ YOECandidates need a bachelor's degree or equivalent experience, 3 to 5 years of engineering experience and over a year deploying LLM applications. They must be strong in Python and APIs, have worked with a frontier GenAI platform, and be able to build retrieval and agentic systems.
Claude API, OpenAI Assistants API, Gemini API, Vertex AI Agent Builder, LangChain, LlamaIndex
5+ YOECandidates need 5+ years of professional software engineering, including training ML models and putting them into production at scale. They need strong Python skills, experience evaluating non-deterministic systems, and a record of turning vague quality problems into measurable fixes.
4+ YOENorbert Health needs candidates with 4+ years shipping ML or AI systems in production, strong Python and model deployment skills, and hands-on fine-tuning experience. A BS in a related field or equivalent hands-on experience is also expected.
Velixo needs candidates with production experience building on LLM APIs, experience building eval harnesses, and fluency with token accounting, context management and caching. Python or TypeScript proficiency and strong data analysis skills are required, plus clear writing for non-technical audiences.
WELL Health Technologies Corp: WELL Health is a healthcare technology company empowering providers across North America with innovative digital tools and services.
Candidates need experience taking AI-enabled solutions into production, strong Python or another programming language skill, experience with APIs, authentication and databases, and hands-on work building AI agents with Microsoft Copilot Studio. Good communication with business users is essential.
Microsoft Copilot Studio, Power Platform, Microsoft Fabric, Power Automate, Azure AI services, Microsoft Entra ID
5+ YOECandidates need five or more years of hands-on production software or ML experience, including LLM applications at scale. They must be expert in Python, comfortable with JavaScript or TypeScript, and fluent in English and French.
Databricks, Azure, AKS, Google Cloud Vertex AI, Claude Code, Codex
Candidates need hands-on experience building and integrating AI models into production software, strong engineering skills, and a fast, scrappy approach to solving complex integration problems. The role suits people who balance speed to deploy with high quality standards.
MaintainX (An Autodesk Company): MaintainX is a technology company pioneering a next-generation approach to maintenance and asset management.
Candidates need strong applied GenAI experience with prompt engineering, structured output and retrieval patterns, real eval discipline measuring factuality and quality, and experience shipping LLM features into production. Comfort with multimodal inputs such as video, PDF, audio and images is required.
3+ YOECandidates need 3+ years of software engineering experience with LLM or AI/ML features in production, plus Ruby on Rails or similar backend and Vue.js or React experience. They also need infrastructure as code (Terraform preferred), working AWS knowledge, and experience building LLM evaluations.
Ruby on Rails, Vue.js, Amazon Bedrock, AWS EKS, Terraform, Terragrunt
5+ YOENexxa.AI needs 5 to 10+ years of engineering experience, strong programming skills, and hands-on ML and generative AI work. Candidates also need cloud and container experience and strong communication skills for customer-facing work.