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Generative Ai Developer Jobs in Ontario (NOW HIRING)

AI Engineer - Generative & Agentic AI

Toronto, ON · On-site

CA$84K - CA$128K/yr

Your Opportunity We are seeking an experienced AI Engineer with a strong foundation in software engineering and a proven track record of building Generative and Agentic AI solutions . This new role ...

... our generative AI document assistant, as well as document classification, extraction, and LLM ... Applying modern engineering practices for production AI systems, including containerized services ...

You will develop and scale Generative AI-powered systems, including large language model (LLM ... The Senior AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities ...

ML/AI Engineer

Toronto, ON · On-site +1

CA$110K - CA$150K/yr

The ML / AI Engineer design, build, deploy, and operate production-grade machine learning and generative AI systems. This role owns the end-to-end ML lifecycle, ensuring models and AI services are ...

AI Full Stack Developer

Toronto, ON · On-site

CA$114K - CA$171K/yr

Design, develop, and implement Generative AI agents to enhance user experience and automate processes. * Work closely with designers, product owners, and other developers to produce top-quality ...

AI Full Stack Developer

Ottawa, ON · On-site

CA$114K - CA$171K/yr

Design, develop, and implement Generative AI agents to enhance user experience and automate processes. * Work closely with designers, product owners, and other developers to produce top-quality ...

Principal Automation Engineer

Toronto, ON · On-site

$172.20 - $199.75/hr

Principal Automation Engineer (12 Month Contract) Location: Toronto - 100 Adelaide St W Time Type ... You will also spearhead the integration of Generative AI tools (e.g., Copilot/Claude/Gemini) into ...

RQ11252 - Sr. AI Engineer 11-month contract (226 business days) - possible extension ONSITE 5 days ... Hands-on experience implementing Generative AI and Large Language Model (LLM) solutions in ...

Showing results 21-40

Generative Ai Developer information

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What are the key skills and qualifications needed to thrive as a generative AI developer?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.
What are popular job titles related to Generative Ai Developer jobs in Ontario? For Generative Ai Developer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Generative Ai Developer jobs in Ontario look for? The top searched job categories for Generative Ai Developer jobs in Ontario are:
Infographic showing various Generative Ai Developer job openings in Ontario as of August 2026, with employment types broken down into 80% Full Time, 17% Part Time, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution.

AI Engineer - Generative & Agentic AI

BDO Canada

Ottawa, ON

CA$84K - CA$128K/yr

Full-time

PTO

Re-posted 27 days ago


Job description

Putting people first, every day

BDO is a firm built on a foundation of positive relationships with our people and our clients. Each day, our professionals provide exceptional service, helping clients with advice and insight they can trust. In turn, we offer an award-winning environment that fosters apeople-first culturewith a high priority on your personal and professional growth.

Your Opportunity

We are seeking an experienced AI Engineer with a strong foundation in software engineering and a proven track record of building Generative and Agentic AI solutions. This new role is ideal for someone who thrives at the intersection of software development, applied AI research, and practical solution design. You will be responsible for designing, implementing, and deploying production-grade AI systems that leverage the latest in large language models (LLMs), orchestration frameworks, and agentic architectures.

Key Responsibilities

  • Design & Development
    • Build scalable and robust AI-driven applications using LLMs and agentic frameworks.
    • Implement vector database solutions to enable semantic search, RAG (retrieval augmented generation), and knowledge management.
    • Develop orchestration pipelines with frameworks like LangChain, Semantic Kernel, AutoGen, or emerging agentic frameworks such as Agno and Parlant.
  • Automation & Integration
    • Integrate workflow automation platforms (n8n, dify.ai Power Automate, etc.) with AI systems to deliver end-to-end business solutions.
    • Ensure seamless integration with existing enterprise software ecosystems and APIs.
  • Quality & Evaluation
    • Apply or contribute to LLM evaluation methodologies, leveraging platforms like Arize, DeepEval, or IBM WatsonX for model benchmarking, monitoring, and continuous improvement.
    • Establish best practices for testing, performance tuning, and evaluation of agentic/LLM-based workflows.
  • Collaboration & Delivery
    • Work closely with cross-functional teams including data scientists, software engineers, and product owners.
    • Translate business requirements into technical designs and deliver working AI-powered applications in production environments.

Required Skills & Qualifications

  • Strong background in software engineering (e.g., system design, distributed systems, APIs, CI/CD).
  • Proven experience in building Generative AI and/or agentic systems.
  • Hands-on expertise with:
    • LLMs and model fine-tuning or integration.
    • Vector databases (e.g., Pinecone, Weaviate, Milvus, FAISS, etc.).
    • LLM orchestration frameworks (LangChain, Semantic Kernel, AutoGen, etc.).
    • Agentic frameworks (Pydantic AI, Agno, Parlant, or similar).
  • Proficiency in at least one major programming language such as Python or .NET (strong engineering fundamentals matter more than specific syntax).
  • Hands-on experience architecting, deploying, and operating cloud-native solutions on one or more major hyperscale platforms (Azure, AWS, or GCP)
  • Experience with workflow automation tools like n8n, dify.ai, Power Automate, or similar platforms.

Nice-to-Have Skills

  • Familiarity with LLM evaluation frameworks (Arize, DeepEval, IBM WatsonX).
  • Contributions to open-source AI frameworks or communities.
  • Experience in MLOps, monitoring, and model deployment pipelines.

Who You Are

  • A problem-solver with strong engineering rigor and curiosity for cutting-edge AI.
  • Comfortable moving between architecture, coding, and deployment.
  • Passionate about transforming abstract business needs into intelligent, production-ready systems.

Salary range for this role is between $84,000 and $128,000.


Why BDO?
Our people-first approach to talent has earned us a spot among Canada's Top 100 Employers for 2026. This recognition is a milestone we're thrilled to add to our collection of awards for both experienced and student talent experiences.


At BDO, our people experience is guided by three core pillars-Do work with genuine care, Do what matters with purpose, and Do what's next - shaping how we support our people, serve our clients, and grow together.

Our firm is committed to providing an environment where you can be successful in the following ways:

  • We enable you to engage with how we change and evolve, being a key contributor to the success and growth of BDO in Canada.
  • We help you become a better professional within our services, industries, and markets with extensive opportunities for learning and development.
  • We support your achievement of personal goals outside of the office and making an impact on your community.
  • We foster a collaborative, inclusive environment where your ideas are valued, and you can do your best work with genuine care and purpose
  • We encourage innovation and forward thinking, empowering you to embrace what's next and help shape the future of our firm

Giving back adds up:Where company meets community.BDO is actively involved in our communities by supporting local charity initiatives. We support staff with local and national events where you will be given the opportunity to contribute to your community.

Total rewards that matter: We pay for performance with competitive total cash compensation that recognizes and rewards your contribution. We provide comprehensive benefits from day one, and a flexible personal time off policy. We're committed to supporting your overall wellbeing and provide reimbursement for wellness initiatives that fit your lifestyle.

Everyone counts:
We are committed to creating a workplace where employees can participate fully, contribute meaningfully and succeed without barriers. We are dedicated to fostering a workplace defined by respect, fairness, and a true sense of belonging for everyone. We recognize and celebrate the unique experiences, identities, and perspectives that each of us bring - and that these experiences strengthen how we work together. Our commitment extends to ensuring that our application process is both inclusive and accessible. If you require accommodation to complete the application process, please contact us.


Flexibility:
All BDO personnel are expected to spend some of their time working in the office, at the client site, and virtually unless accommodations or alternative work arrangements are in place.

Our model is a blended approach designed to support the flexible needs of our people, the firm and our clients. It's about creating work experiences that meet everyone's needs and providing flexibility to adjust when, where and how we work to meet the expectations of our role.

Code of Conduct: Our Code of Conduct sets clear standards for how we conduct business. It reflects our shared values and commitments and includes guiding principles to help us make ethical decisions and maintain trust with each other, our clients, and the public.

BDO may use artificial intelligence enabled tools to support certain aspects of the recruitment process. While these tools assist our teams, our use of AI does not replace human decision making, and all employment-related outcomes are made by BDO personnel.

More information on BDO Canada's Privacy Policy can be found here:

Privacy Policy | BDO Canada


Ready to make your mark at BDO? Click "Apply now" to send your up-to-date resume to one of our Talent Acquisition Specialists.


To explore other opportunities at BDO, check out ourcareers page.


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