Find work in Canada.

567,826 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 1 hour ago
CT
Snowflake Architect
Celebal Technologies
Calgary, AB
- Full-time
We are looking for a Senior ETL developer with Snowflake experience to serve as a technical leader and trusted advisor for business/stakeholders. This role is not just about building data…
Added 2 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Toronto, ON
- Full-time
Improve Salesforce DevOps practices, CI/CD, source control, automated testing, code quality checks, metadata deployments, and release governance.
Added 2 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Montreal, QC
- Full-time
Improve Salesforce DevOps practices, CI/CD, source control, automated testing, code quality checks, metadata deployments, and release governance.
Added 2 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Quebec, QC
- Full-time
Improve Salesforce DevOps practices, CI/CD, source control, automated testing, code quality checks, metadata deployments, and release governance.
Added 2 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Prince George, BC
- Full-time
Improve Salesforce DevOps practices, CI/CD, source control, automated testing, code quality checks, metadata deployments, and release governance.
Added 2 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Halifax, NS
- Full-time
Improve Salesforce DevOps practices, CI/CD, source control, automated testing, code quality checks, metadata deployments, and release governance.
Added 2 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Ottawa, ON
- Full-time
Improve Salesforce DevOps practices, CI/CD, source control, automated testing, code quality checks, metadata deployments, and release governance.
Added 2 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Calgary, AB
- Full-time
Improve Salesforce DevOps practices, CI/CD, source control, automated testing, code quality checks, metadata deployments, and release governance.
Added 3 hours ago
J
Development Ops Engineer
Jobgether
Canada
- Full-time
…processes. This hands-on role combines software engineering, DevOps, cloud management, and technical documentation. You will have significant ownership over application maintenance,…
Added 3 hours ago
C
Core Banking Architect | RFS360 Core Banking and Wealthview Banking
CGI
Halifax, NS
- Full-time
Experience with .NET, SQL Server, IIS, and Azure DevOps.
Added 3 hours ago
C
Senior Site Reliability Specialist (SRE) – Equity Trading Platform
CGI
Montreal, QC
- Full-time
DevOps engineer: Use the established inner-source framework to collaborate on or implement approved changes.
Added 3 hours ago
C
Service delivery Manager
CGI
Toronto, ON
- Full-time
Familiarity with DevOps practices, CI/CD pipelines, monitoring, and observability tools.
Added 3 hours ago
BT
Sr. BizTalk Developer
BULL TECHNICAL SERVICES LIMITED
Mississauga, ON
- Full-time
We are seeking an experienced Senior BizTalk Developer to design, develop, maintain, and support enterprise integration solutions using Microsoft BizTalk Server. The role requires strong…
Added 5 hours ago
UC
Senior AI Developer
UniSysTech Consulting
Toronto, ON · Greater Toronto and Hamilton Area, ON
- Other
We are seeking an experienced Senior AI Developer to lead the design, development, and deployment of enterprise-grade Artificial Intelligence and Machine Learning solutions. In this role,…
Added 5 hours ago
LI
Systems Testing/QA Specialist
Lotus IT Solutions
Enterprise, ON
- Contract
Identify, document, and track software defects using tools such as ALM, JIRA, Bugzilla, and Azure DevOps; work closely with developers to reproduce and resolve issues
Added 7 hours ago
KA
Senior Databricks Engineer
KData AI
Toronto, ON
- Full-time
DevOps, IaC & CI/CD: Establish automated deployment pipelines, testing frameworks, and code promotion standards using Databricks Asset Bundles (DABs), Terraform, and CI/CD tools (GitHub…
Added 7 hours ago
RB
Senior Director, Technology Infrastructure Operations & Resiliency
Royal Bank of Canada
Toronto, ON
- Full-time
Hands-on experience with Power BI, Elastic, AI/LLM development, DevOps toolchains, and Kanban boards
Added 7 hours ago
JG
Business Systems Analyst
J&M Group
Toronto, ON
- Full-time
Required Skills Requirements Analysis, SQL, Data Mapping, API Integration, Azure DevOps Jira, Process Modeling, Stakeholder Management, UAT Coordination
Added 7 hours ago
A
Quality Assurance (QA) Analyst
Affinity
Burnaby, BC
- Contract
Identify, document, prioritize, and track defects and issues using standard tools (e.g., DevOps or equivalent)
Added 7 hours ago
A
Business Analyst
Affinity
Regina, SK
- Contract
…custom-built Auto Fund DRIVE Platform. The resources will use Azure DevOps to plan and support products built on an event-based .NET microservices architecture, following modern development…
Added 7 hours ago
C
Senior Java Engineer – Agentic AI Driven Development
Citi
Mississauga, ON
- Full-time
Actively research and experiment with AI technologies to identify opportunities for enhancing developer productivity, automating tasks, and improving software quality:Continuously explore…
Added 7 hours ago
M
Lead Full Stack Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Deep knowledge of Agile and DevOps principles, with practices that emphasize testing, continuous integration, and rapid, safe releases.
Added 8 hours ago
R
IT Systems Administrator
Remarcable
Vancouver, BC
- $91,000 to $119,000 CAD / year
- Full-time
Cybersecurity & Compliance: Partner with Engineering and DevOps to manage endpoint protection, implement policies using MDM, Azure, and Google Admin, and support SOC2 / ISO 27001 readiness.
Added 8 hours ago
M
Lead Full Stack Engineer
Manulife
Waterloo, ON
- Full-time
Deep knowledge of Agile and DevOps principles, with practices that emphasize testing, continuous integration, and rapid, safe releases.
Added 8 hours ago
I
Technology Analyst - GenAI
Infosys
Mississauga, ON
- Full-time
Experience with CI/CD pipelines and DevOps tools (GitHub Actions, Jenkins, Terraform).

UniSysTech Consulting

Senior AI Developer

Toronto, ON, Canada
Greater Toronto and Hamilton Area, ON, Canada

Apply About employer

Applications open in a new tab.

Job details

Apply by: Dec 2, 2026
Experience: Advanced AI / ML Expertise: 5+ years of hands-on experience building, training, fine-tuning, and deploying machine learning models and AI applications into production.
Posting language: English
Posted: Nov 2, 2026

Original job description

Position Overview

We are seeking an experienced Senior AI Developer to lead the design, development, and deployment of enterprise-grade Artificial Intelligence and Machine Learning solutions. In this role, you will focus on building intelligent back-end systems, automated workflows, and scalable AI capabilities.

While experience with cloud automation in AWS is highly valuable, deep AI/ML expertise 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 problems.

Key Responsibilities

AI & Machine Learning Engineering: Lead the design and implementation of production-ready AI/ML capabilities, including Generative AI models, Retrieval-Augmented Generation (RAG) architectures, and predictive solutions.
Intelligent Automations: Build automated back-end pipelines and processes that leverage AI to optimize operational workflows, data processing, and enterprise tooling.
AWS Integration & Cloud Infrastructure: Work closely with AWS services (e.g., SageMaker, Bedrock, Lambda, EventBridge) to host, automate, and scale AI-driven backend services.
Back-End API & Service Development: Architect robust, secure, and performant back-end APIs, microservices, and asynchronous event-driven systems.
MLOps & Pipeline Automation: Implement automated CI/CD workflows for model deployment, monitoring, model drift tracking, and continuous integration/delivery.
Technical Leadership & Architecture: Partner with enterprise architects, data engineers, and security teams to ensure AI systems align with governance, compliance, and enterprise risk standards.

Qualifications & Key Requirements

Must-Have Skills (Top Priority)

Advanced AI / ML Expertise: 5+ years of hands-on experience building, training, fine-tuning, and deploying machine learning models and AI applications into production.
Generative AI & Modern AI Frameworks: Proficiency with LLM orchestration (e.g., LangChain, LlamaIndex), RAG pipeline design, vector databases, and prompt engineering.
Back-End Mastery: Strong proficiency in Python (FastAPI, Flask, or async Python frameworks) and software design patterns focused entirely on backend services, APIs, and data processing.
Automation Engineering: Demonstrated experience automating complex backend tasks, data pipelines, and system workflows using AI-driven approaches.

AWS & Cloud Skills (Secondary Focus)

AWS Cloud Services: Practical experience with core AWS backend and AI infrastructure, such as AWS Bedrock, SageMaker, Lambda, API Gateway, S3, ECS, and EventBridge.
Infrastructure as Code & DevOps: Exposure to CloudFormation or Terraform, alongside standard Git-based CI/CD pipelines.

Nice-to-Have Skills

Background in large enterprise or regulated industries (e.g., Financial Services, Telecommunications).
Knowledge of Responsible AI principles, model governance, and data security standards.
Familiarity with containerization (Docker, Kubernetes/EKS).
Typescript, React, Angular and Java

Work Environment

Hybrid Model: Requirement to work 2 days per week in-office at our Downtown Toronto office, with up to 3 days remote flexibility.

Apply About employer

More about this job

Responsibilities

Lead the design, development, and deployment of production-ready AI/ML solutions, including generative AI, RAG architectures, predictive models, and AI-driven backend automations. Build scalable backend APIs and event-driven services, integrate AWS infrastructure, automate MLOps pipelines, and ensure solutions meet enterprise governance, compliance, and security standards.

Requirements

Requires 5+ years of hands-on experience building, training, fine-tuning, and deploying production AI/ML models and applications, along with expertise in LLM orchestration, RAG, vector databases, and prompt engineering. Strong Python backend development and automation experience are essential; practical AWS experience is also sought, while enterprise or regulated-industry experience, responsible AI knowledge, and containerization are advantageous.

Skills

Artificial Intelligence
Machine Learning
Generative AI
Large Language Models
Retrieval-Augmented Generation
LangChain
LlamaIndex
Vector Databases
Prompt Engineering
Python
FastAPI
Backend API Development
AWS
MLOps
CI/CD
Infrastructure as Code

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Generative AI
Large Language Models
Retrieval-Augmented Generation
Predictive Models
LangChain
LlamaIndex
Vector Databases
Prompt Engineering
Python
FastAPI
Flask
Backend APIs
Microservices
AWS Bedrock
Amazon SageMaker
AWS Lambda
Amazon API Gateway
Amazon S3
Amazon ECS
Amazon EventBridge
MLOps
CI/CD
CloudFormation
Terraform
Docker
Kubernetes
Responsible AI

Report this job