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Genai Engineer Jobs in Toronto, ON (NOW HIRING)

Databricks GenAI Engineer Associate certification. * Exposure to enterprise engagement cycles and how technical decisions shape deal outcomes. * Experience with Frontier LLMs such as Claude code for ...

Databricks GenAI Engineer Associate certification. * Exposure to enterprise engagement cycles and how technical decisions shape deal outcomes. * Experience with Frontier LLMs such as Claude code for ...

AI Engineer Job Posting Description The AI Engineer will join the AI team supporting the Long-Term ... Implement GenAI and LLM-based solutions, including retrieval-augmented generation, prompt ...

As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data ...

As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data ...

Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on ... You'll play a key role in building out GenAI platform foundations, supporting production-grade ...

Drive the deployment of new GenAI products and process improvements, working with internal and ... Serve as an advisor and coach to mid-level developers and analysts specializing in Python and GenAI ...

Drive the deployment of new GenAI products and process improvements, working with internal and ... Serve as an advisor and coach to mid-level developers and analysts specializing in Python and GenAI ...

AI Engineer

Toronto, ON · On-site

CA$106K/yr

Our team is responsible not only for delivering GenAI capabilities, but also for solving the ... Weoperatewith a strong engineering culture: we question assumptions, prioritize impact over process ...

You leverage GenAI tools to improve productivity, streamline testing activities, and support the ... Working alongside experienced engineers, you will help deliver high-quality solutions through ...

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Genai Engineer information

What is a GenAI engineer?

A GenAI Engineer is a professional who specializes in designing, developing, and deploying generative artificial intelligence (AI) models and applications. This role involves working with advanced machine learning techniques, such as large language models and generative adversarial networks, to create systems that can generate text, images, code, or other content. GenAI Engineers collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into products and services, ensuring ethical use and scalability. They also stay updated on the latest developments in AI research to continually improve model performance and effectiveness.

What are the key skills and qualifications needed to thrive as a GenAI engineer, and why are they important?

To thrive as a GenAI Engineer, you need expertise in machine learning, deep learning, and programming languages such as Python, along with a solid understanding of generative models like GANs and transformers. Familiarity with frameworks such as TensorFlow or PyTorch, and experience with cloud platforms and MLOps tools, are highly valuable; advanced degrees or certifications in AI or data science are often preferred. Strong problem-solving, creativity, and communication skills help GenAI Engineers design innovative solutions and effectively collaborate with multidisciplinary teams. These skills ensure the development of robust, scalable generative AI systems that address complex real-world challenges.

What are some typical challenges a GenAI engineer faces when deploying AI models in production environments?

GenAI Engineers often encounter challenges such as ensuring model scalability, addressing bias in generated outputs, and maintaining performance consistency in real-world applications. Deploying generative AI models requires careful monitoring to prevent unexpected or inappropriate outputs, as well as efficient resource management to handle large-scale computations. Collaborating closely with data engineers, product managers, and ML operations teams is essential to streamline deployment pipelines and quickly resolve issues that arise in live environments.

What is the difference between Genai Engineer vs Data Scientist?

AspectGenai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI/ML frameworksDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentDevelops AI models, fine-tunes generative AI systems, collaborates with AI teamsAnalyzes data, builds predictive models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, research labs focusing on generative AIFinance, healthcare, marketing, and tech firms analyzing data for insights

While both roles require strong technical skills and a background in data or AI, Genai Engineers focus on developing and deploying generative AI models, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but serve different primary functions within AI and data-driven organizations.

What are popular job titles related to Genai Engineer jobs in Toronto, ON?

For Genai Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Genai Engineer jobs in Toronto, ON look for?

The top searched job categories for Genai Engineer jobs in Toronto, ON are:

Infographic showing various Genai Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 33% Full Time, 33% Part Time, and 34% Contract. Highlights an 67% In-person, and 33% Remote job distribution.

Intermediate GenAI Engineer - 12 month contract

CorGTA

Toronto, ON

CA$70/hr

Contractor

Re-posted 2 days ago


Job description

Role: Intermediate GenAI Engineer
Rates: Up to $70.00 p/h INC.
Strucure: 12 month contract
Location: North York, 1-2 days per month in office
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We have a great new opportunity to support one of our clients in a contract capacity!

Please see below for more information on the position and if interested, apply with an updated resume aligned to the needs of the role.


Must-Have Qualifications
35 years of professional Software Engineering experience
Minimum 12 years building production Generative AI or LLM-based applications
Expert-level Python programming skills
Strong experience with AsyncIO and asynchronous application development
Hands-on experience building REST APIs using FastAPI
Experience designing and implementing Retrieval-Augmented Generation (RAG) architectures
Strong understanding of vector embeddings, semantic search and prompt engineering
Experience working with PostgreSQL and pgvector
Google Cloud Platform (GCP) experience
Docker containerization
Kubernetes (GKE) deployment experience
Strong understanding of Git, testing frameworks and software engineering best practices
Excellent communication and problem-solving skills
Nice-to-Have Skills
Google Agent Development Kit (Google ADK)
LangGraph
LangChain
CrewAI
AutoGen
LlamaIndex
Multi-Agent Systems
AI Evaluation Frameworks
AI Observability
Streaming Responses (SSE/WebSockets)
CI/CD pipelines
Security guardrails and Responsible AI
Data privacy and PII handling

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CorGTA is an equal opportunity employer, please apply with an updated resume and ensure the required skills you are able to speak to for this position are included.

At times, CorGTA or itsclient partners may utilize AI tools to assist with the hiring processes.

By submitting your application, you consent to be contacted by CorGTA via email, SMS, or phone regarding current and future opportunities, and acknowledge our collection and use of your personal information in accordance with our Privacy Policy and Terms of Service: www.corgta.com/privacy-policy

For more roles like this, please go towww.corgta.com/find-a-job/