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Full Stack Ai Engineer Jobs in Ontario (NOW HIRING)

Elevate AI systems at eBay as a Senior Full Stack Engineer (MTS 2). This role focuses on developing intelligent experiences across scalable AI solutions in a dynamic environment. Joining eBay's AIRI ...

We're looking for a Senior Full Stack Software Engineer who is passionate about building high-quality software in an AI-native way. Someone who treats Claude and the latest agentic coding tools as a ...

Senior Full-Stack Engineer, AI Platform The Opportunity Chubb's AI Platform team is building an enterprise AI platform that powers RAG-based search, document intelligence, and AI-assisted workflows ...

Develop AI-assisted features including call summarization, lead scoring, email drafting support ... Work with the Data Platform Engineer to ensure clean data access patterns, performance, security ...

Full-Stack Developer ⬝ In-office, full-time position in Vaughan ⬝ Relevant education only ⬝ ... Your work will be boosted by the cutting-edge AI tools. Main responsibilities ⬝ Translate ...

Full-Stack Engineer III Location: Toronto (Onsite/ Hybrid) Job Type: Full-Time Hiring Timeline ... Experience with AI-driven development and AI-assisted engineering workflows * Experience with LLM ...

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Leverage modern AI development tools (e.g., Claude, VS Code AI tools) to streamline engineering ... Full-Stack & Systems Development: Advanced expertise in developing scalable web applications ...

We are seeking a Full Stack Developer to design, develop, test, deploy, and support software ... Familiarity with AI tools, developer productivity tools, or AI-assisted software development is a ...

Machina Labs is seeking a Full Stack Engineer to join our software team and help build the systems ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Full Stack Software Developer

Oakville, ON · Hybrid

CA$80K - CA$90K/yr

Our client is seeking a skilled Full Stack Software Developer with 5+ years of experience to join ... AI (Artificial Intelligence) tools may be used at certain points of the pre-screening and selection ...

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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.

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 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.
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:
What cities in Ontario are hiring for Full Stack Ai Engineer jobs? Cities in Ontario with the most Full Stack Ai Engineer job openings:
Infographic showing various Full Stack Ai Engineer job openings in Ontario as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Full Stack Engineer at eBay

eBay

On-site

Full-time

This job post has expired today. Applications are no longer accepted.


eBay rating

8.5

Company rating: 8.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

12th of 731 rated retailers


Job description

Elevate AI systems at eBay as a Senior Full Stack Engineer (MTS 2). This role focuses on developing intelligent experiences across scalable AI solutions in a dynamic environment.
Joining eBay's AIRI division, you will take on significant engineering responsibilities, leading technical execution of AI workstreams. Your expertise in backend systems and willingness to engage in front-end development will enable you to translate abstract concepts into actionable designs. Collaborate effectively with Product, Research, and Data Engineering teams to drive innovation and deliver high-quality AI results.
Key Responsibilities:
• Design and optimize scalable AI systems based on Generative AI and LLMs
• Lead major AI workstreams from inception to production
• Develop agent-led user experiences leveraging planning and orchestration
• Translate business needs into practical AI system architectures
• Mentor junior engineers and promote technical best practices
Requirements:
• 8+ years in software or AI engineering
• 4+ years in AI systems deployment
• Experience in leading complex engineering initiatives
• Proficient in Java, Python, and relevant ML frameworks
• Strong understanding of AI evaluation metrics
Utilize your expertise in AI development and engineering practices to innovate at eBay!
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