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Genai Developer Jobs in Ontario (NOW HIRING)

Aon Corporation

Senior AI developer

Toronto, ON · On-site

CA$128K - CA$171K/yr

Senior AI Developer Role Type: New position Are you excited about using Generative AI to solve ... Identify, design, and prototype GenAI agents to support PathWise model design, build, testing, and ...

Varicent

Staff Gen AI Developer

Toronto, ON · On-site

CA$145K - CA$190K/yr

As our Staff Software Developer, GenAI , you'll play a critical role in building and scaling production-grade AI systems that directly impact how our customers use and experience our products. You'll ...

Accenture

Senior Front-End Web Developer

Toronto, ON · On-site

... the engineers around you up to your standard. Clients rely on you directly for project plans and ... GenAI coding tools (e.g., GitHub Copilot, Claude Code) as part of your day-to-day development ...

Manulife

AI Engineer - Hybrid

Toronto, ON · Hybrid

Implement GenAI and LLM-based solutions, including retrieval-augmented generation, prompt ... DevOps. * Strong SQL skills and experience working with structured and unstructured data.

Deloitte

DevOps Senior Manager

Toronto, ON · On-site

Champion adoption of AI-first engineering practices across the platform: bring GenAI and intelligent automation into the software development lifecycle (code generation, testing, review ...

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Genai Developer information

What is a GenAI developer?

GenAI Developers are professionals who design, build, and optimize applications using generative artificial intelligence technologies. They work with models such as GPT, DALL-E, or Stable Diffusion to create tools for generating text, images, code, and other content. These developers need strong programming skills, a solid understanding of machine learning, and experience working with AI frameworks and APIs. Their responsibilities often include training custom models, integrating AI into products, and ensuring ethical use of generative AI solutions.

What are some common challenges GenAI developers face when integrating generative AI models into existing products?

GenAI Developers often encounter challenges related to model deployment, scalability, and ensuring data privacy when integrating generative AI models into established products. Balancing the computational requirements of large AI models with real-time application demands can be complex, and optimizing inference speed without sacrificing model quality is a key consideration. Additionally, collaborating closely with product managers, data scientists, and DevOps teams is essential to align AI outputs with business goals and maintain robust, ethical AI practices.

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

To thrive as a GenAI Developer, you need a strong background in machine learning, deep learning frameworks (like TensorFlow or PyTorch), and programming languages such as Python, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (AWS, Azure, GCP), APIs, and prompt engineering, as well as certifications in AI or ML, are typically used in this role. Creativity, problem-solving, and effective communication set outstanding GenAI Developers apart. These skills are crucial for building, optimizing, and deploying powerful generative AI models that address complex business challenges.

What is the difference between Genai Developer vs Machine Learning Engineer?

AspectGenai DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; experience with NLP and AI frameworksBachelor's or higher in CS, Data Science, or related; strong programming and ML skills
Work EnvironmentDevelops AI models focused on generative AI, often in AI startups or tech companiesBuilds and deploys ML models across various industries, including tech, finance, healthcare
Employer & Industry UsagePrimarily in AI-focused companies, research labs, and tech firmsWidely used across industries like tech, finance, healthcare, and retail

While both roles involve AI and machine learning, Genai Developers specialize in creating generative AI models like chatbots and content generators, whereas Machine Learning Engineers develop a broader range of ML models for various applications. The roles overlap in skills and tools but differ in focus and industry applications.

How to become a GenAI developer?

To become a GenAI developer, you should gain expertise in machine learning, deep learning, and natural language processing, with a focus on generative models like GPT. Proficiency in programming languages such as Python, experience with frameworks like TensorFlow or PyTorch, and understanding of large language models are essential. Building a portfolio of projects and staying updated with AI research can also enhance your qualifications.

Is a Genai Developer a promising career?

A Genai Developer is a growing role focused on developing and implementing generative AI models, which are increasingly used across industries. The field requires skills in machine learning, programming, and AI frameworks, and offers strong job growth prospects due to expanding AI adoption. Continuous learning and staying updated with new tools are important for success in this career.

What cities in Ontario are hiring for Genai Developer jobs?

Cities in Ontario with the most Genai Developer job openings:

Genai Developer jobs near you
Infographic showing various Genai Developer job openings in Ontario as of August 2026, with employment types broken down into 75% Full Time, 12% Part Time, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Intermediate GenAI Engineer - 12 month contract

CorGTA

Toronto, ON

CA$70/hr

Contractor

Posted 18 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/