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Full Stack Ai Engineer Jobs in Toronto, ON (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 ...

Alquemy

Full Stack Engineer

Toronto, ON · On-site

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 ...

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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.

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Cities near Toronto, ON with the most Full Stack Ai Engineer job openings:

Full Stack Ai Engineer jobs near you
Infographic showing various Full Stack Ai Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 69% Physical, 6% Hybrid, and 25% Remote job distribution.

Full-Stack AI Engineer

Toronto, ON • Hybrid

Appnovation Technologies
See more jobs at Appnovation Technologiesexternal

Full-time

Medical

Posted 3 days ago

New

Job description

About the Role

As a Full-Stack AI Engineer, you'll transform business ideas into production-ready applications using cutting-edge AI design tools and modern full-stack frameworks. With a strong bias toward frontend development, you specialize in the critical early stages-from concept through pre-totype to prototype-where design systems meet AI-augmented development. You're an expert at leveraging tools like v0.dev, bolt.new, and Lovable to rapidly generate components, then building out the complete stack to meet enterprise standards for accessibility, performance, responsive design, and scalability. You must be able to think fast, work outside the box, and have a passion for pushing the boundaries of what AI can achieve. You will join a team that thrives on experimentation, moving at a rapid pace from initial concepts through prototypes to production-ready applications.

Key Responsibilities

  • Rapidly transform concepts into interactive prototypes using v0.dev, bolt.new, Lovable, and similar AI design tools.
  • Build full-stack applications from prototype to production, with emphasis on frontend excellence and solid backend foundations.
  • Ensure all components align with existing design systems (design tokens, color palettes, typography, spacing) and brand guidelines.
  • Develop production-ready UI components using modern frameworks (React.js, Vue.js, Nuxt.js) with best practices for accessibility, performance, and responsive design.
  • Design and implement RESTful APIs and backend services using platforms like Supabase to support frontend functionality.
  • Work with databases (SQL and NoSQL) to manage application data efficiently.
  • Implement authentication, caching strategies, and optimize application performance across the stack.
  • Collaborate with UX Designers, AI Builders, and Innovation Leads throughout the development lifecycle.
  • Utilize GitHub Spec-kit and/or Open Spec to streamline development workflows and maintain specification standards.
  • Leverage Figma and design system tooling to maintain component libraries and streamline design-dev handoff.
  • Document design decisions and technical implementation in Jira as part of the ticket-driven workflow.

Qualification

  • 4+ years in full-stack development with strong frontend expertise in modern UI frameworks (React.js, Vue.js, Nuxt.js). Bonus points if you have experience working in a startup or rapid prototyping environment.
  • Proven experience with PHP and Python.
  • Desired experience with NodeJS and Express.
  • Proven hands-on experience with AI design tools such as v0.dev, bolt.new, Lovable, or similar platforms.
  • Experience with Spec driven development like GitHub Spec-kit and Open Spec.
  • Experience with workflow automation platforms such as N8N.
  • Strong track record of delivering production-grade full-stack applications.
  • Solid understanding of backend development, including API design (REST, GraphQL), server-side logic, and database management.
  • Experience with platforms like Supabase for rapid backend development and both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB) databases.
  • Proficiency with authentication mechanisms (OAuth, JWT) and security best practices.
  • Understanding of caching strategies, performance optimization, and scalability patterns.
  • Deep understanding of design systems, design tokens, and component-driven development.
  • Expert-level proficiency with Figma, including design system management and component libraries.
  • Experience with CSS frameworks (e.g. TailwindCSS) and modern styling approaches.
  • Strong collaboration and creative problem-solving skills.
  • Experience with TypeScript and modern JavaScript/ES6+ features.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and deployment workflows.
  • A portfolio showcasing full-stack applications you've built, including work with design systems and AI design tools.
  • Strong attention to detail and a passion for innovation.
  • Ability to work in a fast-paced and dynamic environment.

What Appnovation Offers

  • Challenging and rewarding work with real impact
  • Growth opportunities for personal and professional development
  • Exposure to exciting projects and high-profile clients
  • Supportive work environment with access to company leaders
  • Hybrid working model

Here are a few more reasons why you should apply:

  • Work-life Balance
  • Lots of opportunities for personal and professional growth
  • Health Benefits Package
  • Mental Health Support
  • Personal Days Off
  • Fertility and Menopause Leave
  • Fitness Allowance
  • D,E&I Initiatives
  • And much more...
 

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