Toronto On Ai engineer Jobs – 1117 Openings This Week

Staff AI Engineer
Tangerine Bank —Toronto, ON
- System design
- Mentoring
- APIs
AI Engineer
Sanofi EU —Toronto, ON
- $94,700.00–$136,766.66 a year
- Hybrid work
- Doctoral degree
- Computer Science
- English
7d
AI Engineering Lead
Definity Financial Corporation —Toronto, ON
- $108,700–$158,700 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
- Tuition reimbursement
- Paid time off
Mechanical Design Engineer - AI Trainer
DataAnnotation —Scarborough, ON
- From $60 an hour
- Contract
- Remote
- Engineering
- English
- Bachelor's
Quick apply
Senior Mechanical Engineer - AI Trainer
DataAnnotation —Thornhill, ON
- From $60 an hour
- Contract
- Remote
- Engineering
- English
- Bachelor's
Quick apply
Embedded Software Engineer
AI (Artificial Intelligence) Incorporated —Toronto, ON
- From $90,000 a year
- Full-time
- Computer Science
- Schematics
- Engineering
- Dental care
- Paid time off
Quick apply
Specialist, AI Engineering
Definity Financial Corporation —Toronto, ON
- $92,000–$142,000 a year
- Full-time
- Hybrid work
- Computer Science
- Java
- Master's degree
- Tuition reimbursement
- Paid time off
Senior Software Engineer
LTM —Mississauga, ON
- $77,874–$86,767 a year
- Software troubleshooting
- Java
- Analysis skills
- Disability insurance
- Dental care
Quick apply
Staff Applied ML Engineer
Kaseya Careers —Toronto, ON
- $220,000–$280,000 a year
- SQL
- Machine learning
- Mentoring
Senior Embedded AI Software Engineer
Soneil Spark —Brampton, ON
- $70,000–$120,000 a year
- Full-time
- Computer Science
- Software troubleshooting
- Engineering
- Dental care
- Paid time off
Quick apply
Staff Software Engineer
Kaseya Careers —Toronto, ON
- $180,000–$250,000 a year
- Azure
- AWS
- APIs
Lead Product Engineer, Integrations
servicePath —Ontario
- Full-time
- Remote
- Salesforce
- In-person
- AI
Quick apply
Senior Software Engineer
Soneil Spark —Brampton, ON
- $105,000–$125,000 a year
- Full-time
- Software troubleshooting
- System design
- SQL
- Dental care
- Paid time off
Quick apply
Software Engineer - API
CMiC —Toronto, ON
- $70,000–$115,000 a year
- Full-time
- Hybrid work
- Java
- Communication skills
- Wellness program
- Dental care
Quick apply
Staff Software Engineer - Capital One Travel - Android
Capital One - CA —Toronto, ON
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree
Principal AI Engineer
Tangerine Bank —Toronto, ON
- Mentoring
- AI
- Leadership
Senior Frontend Engineer (JS/TS/Python)
StitcherAI Inc. —Toronto, ON
- $130,000–$160,000 a year
- Full-time
- Hybrid work
- DevOps
- English
- Bachelor's
- Paid time off
- Work from home
Quick apply
Junior Mechanical Design Engineer - AI Trainer
DataAnnotation —Concord, ON
- From $60 an hour
- Contract
- Remote
- Engineering
- English
- Bachelor's
Quick apply
Senior .NET Developer
Rentsync —Toronto, ON
- $100,000–$120,000 a year
- Full-time
- Hybrid work
- Azure
- Software troubleshooting
- SQL
Quick apply
Senior Backend Software Engineer – Data Platform
Kaseya Careers —Toronto, ON
- $205,000–$240,000 a year
- Azure
- System design
- Java
Quick apply

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Staff AI Engineer

Tangerine Bank -
Toronto, ON

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Job details

Qualifications

Scikit-learn
Authentication
Technical project or programme management experience
Quality assurance test automation development
Law
React
Full-stack development
NumPy
System design
Git
Microservices
Pandas
Docker
Continuous integration
Fraud detection
Mentoring
Natural language processing
Angular
APIs
React.js
Root cause analysis
Business requirements
AI
Software development or architecture experience
Communication skills
Software architecture

Full job description

Tangerine is Canada’s leading direct bank. We offer flexible and accessible banking options, innovative products, and award-winning Client service. The reason why Tangerine employees come to work each day is to help Canadians live better lives. We focus on making a difference in our communities, and that includes our own internal community. It’s important to us that our employees feel empowered and enthusiastic about belonging to our Orange culture.

Do you like new challenges? Are you ready to reach new heights in your career and become part of an established disruptor? If so, come join us and help redefine the Canadian banking landscape!

Is this role right for you? In this role, you will:
Deliver and Scale Agentic AI Solutions:
Serve as the technical lead and primary engineering point person for AI use cases within the focus area, owning technical decomposition, delivery coordination, dependency management, and execution quality from concept through production
Build partnerships with business domains to demonstrate the art of possible and translate business requirements to delivery timelines and features
Design, build, and productionize LLM-powered and agentic applications, including retrievalaugmented generation (RAG), multi-step reasoning workflows, structured outputs, and prompt safety
Work hands-on to de-risk complex problems by writing, reviewing, and operating production-grade AI systems

Architect Secure, Reliable, and Observable Systems

Align use case design with platform patterns, governance expectations, and operational support models
Ensure systems are testable, observable, and resilient, with automated testing and clear operational feedback loops
Design and operate secure, low-latency services and microservices with modern authentication and authorization
Contribute to architectural discussions, platform capabilities, and evolving best practices for AI development
Collaborate with platform, security, and risk partners to ensure systems meet enterprise compliance, operational, and governance standards

Influence Technical Direction and Engineering Culture

Take ambiguous problems and translate them into clear technical solutions, communicating trade-offs and constraints
Model a culture of engineering excellence, inclusion, and continuous learning — digging into root causes and sharing durable lessons
Influence technical direction beyond the immediate team by contributing reusable patterns, engineering standards, and architectural guidance across AI initiatives
Mentor peers through code reviews and design discussions, raising the bar for quality, ownership, and long-term thinking

Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

Required Qualifications:
Experience leading complex AI initiatives across multiple stakeholders from business case through production rollout
Ability to make sound technical trade-offs across speed, risk, scalability, and maintainability
Experience in AI safety, evaluation, and responsible AI practices
Strong communicator with the ability to manage relationships, align stakeholders, and navigate dependencies across projects and products
Extensive experience in Python and its core data science libraries (e.g., Scikit-learn, Pandas, NumPy, Matplotlib/Seaborn)
Hands-on experience building LLM-powered applications — retrieval, agents, structured outputs, prompt safety
Strong experience in full stack fundamentals and microservices. Production experience with API authentication and authorization (OAuth 2.0, OpenID Connect, and SAML) is required
Deep understanding of structured and unstructured data management and their corresponding technologies
Proven experience in automated testing, including unit and functional testing, and the ability to develop test strategies and design automation frameworks

Preferred Qualifications:
Served as tech lead for an AI driven product and established partnership with product management
Experience with Agentic AI frameworks and designing multi-step AI reasoning processes - Experience with MLOps principles and tools for model versioning (e.g., Git), containerization (e.g., Docker), and continuous integration/continuous deployment (CI/CD) of machine learning models
Strong theoretical and practical knowledge of classical machine learning algorithms (e.g., classification, regression, clustering, dimensionality reduction) and their applications in areas such as fraud detection, credit risk scoring, or customer segmentation
Experienced with building and deploying NLP and voice response applications (including IVR and contact center intelligence)
Familiarity with Google's Vertex AI tech stack
Experience building applications with modern web component frameworks (such as React & Angular)

What's in it for you?

You will be part of a diverse and inclusive team of Client-focused go-getters looking to learn from each other in an environment that celebrates and recognizes success!
You will have access to thousands of online and in-person courses so you can shape your career growth with support from diverse industry leaders.
You will get our help to save for your future and to invest in your total well-being through our Tangerine benefits.
You belong here, and we are equal and uncomplicated. Bring your true self to work, dress codes don’t apply here.
You will enjoy workspace flexibility and all the excitement that comes from working at the official Bank of the Toronto Raptors.

Location(s): Canada : Ontario : Toronto

At Tangerine we value the unique skills and experiences each individual brings to the team, and are committed to creating and maintaining an inclusive and accessible environment. If you require accommodation during the recruitment and selection process, please let our Recruitment team know.

Apply Now

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ai engineer jobs in toronto on

Staff AI Engineer

AI Engineer

AI Engineering Lead

Mechanical Design Engineer - AI Trainer

Senior Mechanical Engineer - AI Trainer

Embedded Software Engineer

Specialist, AI Engineering

Senior Software Engineer

Staff Applied ML Engineer

Senior Embedded AI Software Engineer

Staff Software Engineer

Lead Product Engineer, Integrations

Senior Software Engineer

Software Engineer - API

Staff Software Engineer - Capital One Travel - Android

Principal AI Engineer

Senior Frontend Engineer (JS/TS/Python)

Junior Mechanical Design Engineer - AI Trainer

Senior .NET Developer

Senior Backend Software Engineer – Data Platform

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