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Full Stack Ai Engineer Jobs in Ontario (NOW HIRING)

Emterra Group

AI - Full Stack Engineer

Oakville, ON

$120K/yr

... AI SME / Full Stack Engineer to join our IT team. In this role, you will lead the design, development, and deployment of AI-powered solutions built on the Microsoft Azure platform, while also ...

Royal Bank of Canada

Software Developer - AI

Toronto, ON · On-site

... Engineer We're looking for a talented AI / Software Developer Engineer with expertise in Python ... Frontend and Full-Stack Implementation : Build responsive, user-centric interfaces using React and ...

Alquemy

Full Stack Engineer

Toronto, ON

Full Stack Engineer About the Role We are seeking an Full Stack Engineer to design, develop, deploy, and support AI-powered applications using modern large language model (LLM) technologies. You will ...

Finlink Group

Staff Full-Stack Engineer - .NET, React & AI Are you a highly experienced full-stack engineer who thrives on solving complex technical challenges and delivering production-ready solutions at speed?

Saatchi & Saatchi Canada

Join Saatchi & Saatchi as a Full Stack Developer focusing on groundbreaking AI projects. This role requires deep expertise in software engineering paired with leadership capabilities, welcoming ...

Finlink Group

Staff Full-Stack Engineer - .NET, React & AI Are you a highly experienced full-stack engineer who thrives on solving complex technical challenges and delivering production-ready solutions at speed?

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Full Stack Ai Engineer information

What is a full stack AI engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

What are the key skills and qualifications needed to thrive as a full stack AI engineer?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.

How do full stack AI engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are popular job titles related to Full Stack Ai Engineer jobs in Ontario?

For Full Stack Ai Engineer jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Full Stack Ai Engineer jobs in Ontario look for?

The top searched job categories for Full Stack Ai Engineer jobs in Ontario are:

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Full Stack Ai Engineer jobs near you
Infographic showing various Full Stack Ai Engineer job openings in Ontario as of August 2026, with employment types broken down into 71% Full Time, 27% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Senior Full Stack AI Developer

Messagepoint Inc

Toronto, ON • Remote

Full-time

Re-posted 3 days ago

Job description

About Messagepoint

Messagepoint is a privately-owned software company providing an AI-powered SaaS solution that enables enterprises to manage and personalize customer communications with greater speed, accuracy, and control. Our award-winning platform empowers business users to create and optimize compliant, personalized communications across digital and print channels using advanced content intelligence and large language models.

Messagepoint is headquartered in Toronto with employees located throughout Canada, the United States, France, and the UK.

Summary

We are seeking a Senior Full Stack AI Developer to join our Research and Development team and help advance our portfolio of AI-powered products. You will work across modern web applications that combine rich user experiences with intelligent, agent-driven backends, powered by large language models and integrated deeply into our enterprise platform.

As a senior member of the team, you will contribute across the full stack - building modern, performant front-end experiences and contributing to back-end services that power our AI-driven products. You will work alongside senior developers, test, and product management to ship high-quality features, raise the engineering bar, and help shape how we leverage AI across our codebase and our products.

Responsibilities:

  • Lead the migration of a legacy front-end from vanilla JavaScript / jQuery / HTML5 / CSS to a modern React-based stack.
  • Help maintain and enhance an existing Angular CLI front-end on a separate product.
  • Develop overall concepts for new and existing product features and components across our AI-powered product portfolio.
  • Contribute to back-end services in Python (agent workflows) and Node.js as priorities shift.
  • Write production-ready, secure, and performant code, and apply secure coding practices throughout design and delivery.
  • Own your work end-to-end through our CI/CD pipeline on GitLab - branching, merge requests, code review, build, test, and deploy - and track delivery in Jira.

Qualifications:

  • 5+ years of experience developing and shipping web applications.
  • Solid experience with React and modern JavaScript, HTML5, and CSS3.
  • Working knowledge of Angular - enough to be productive maintaining and enhancing an Angular CLI front-end.
  • Back-end experience in Node.js and/or Python.
  • Comfortable working with PostgreSQL or another relational database.
  • Hands-on experience with CI/CD pipelines (GitLab CI is a plus), Git workflows (branching, merge requests, code review), and Jira-based delivery.
  • Awareness of secure coding fundamentals.
  • Strong communication skills and the ability to collaborate effectively in a fast-paced environment.

Nice to Have:

  • Familiarity with agentic workflows and modern AI tooling - LangChain, LangGraph, RAG, function calling, and prompt engineering.
  • Experience integrating with LLM providers such as OpenAI and Anthropic, and with hosted model platforms such as AWS Bedrock.
  • Familiarity with cloud infrastructure on AWS - deploying, operating, and observing services in production.
  • Comfort using AI coding assistants (e.g., Claude Code, Augment Code, Cursor) as part of your daily development workflow.
  • Rough familiarity with Java/Spring and JSP.
  • Experience modernizing legacy front-ends to React in production environments.

Messagepoint is an Equal Opportunity Employer and encourages diversity and inclusion in the workplace.

We thank you for your interest, however, only those who qualify for an interview will be contacted.


This is a remote position open to candidates residing in Canada who are legally authorized to work in Canada. Compensation is benchmarked to the Canadian market and paid in Canadian dollars.

Apply