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Ai Coder Jobs in Ontario (NOW HIRING)

Leverage AI coding agents and automated verification tools to improve development speed while maintaining engineering quality standards. * Design, build, and operate highly available, high ...

Leverage AI coding agents and automated verification tools to improve development speed while maintaining engineering quality standards. * Design, build, and operate highly available, high ...

You have experience with, and know how to responsibly use, AI coding tools and LLMs. * You understand the existential nature of the development process. Even though you have the knowledge that all ...

Palona's AI agents operate continuously in production, handle real-time guest interactions ... You will write production code, design systems, automate repetitive work, and own outcomes across ...

Palona's AI agents operate continuously in production, handle real-time guest interactions ... You will write production code, design systems, automate repetitive work, and own outcomes across ...

AI Trainer - Remote

Toronto, ON ยท Remote

$80 - $120/hr

No prior AI experience is required. Key Responsibilities * Create reinforcement learning ... Ensure tasks accurately measure coding ability, problem-solving, and tool usage. * Document ...

Showing results 21-40

Ai Coder information

What is an AI coder?

AI Coders are professionals who develop, implement, and maintain artificial intelligence (AI) systems and applications. They use programming languages such as Python, Java, and R to write code that enables machines to perform tasks that typically require human intelligence, such as learning, reasoning, and problem-solving. AI Coders often work with machine learning models, neural networks, and large datasets to create intelligent solutions for various industries. Their work can range from building chatbots and recommendation systems to designing complex algorithms for automation.

What types of projects do AI coders typically work on, and how does project collaboration usually happen?

AI Coders are often involved in developing machine learning models, creating data pipelines, and integrating AI solutions into existing products. Collaboration is a key part of the role, with AI Coders working closely with data scientists, software engineers, and product managers to translate business needs into technical solutions. Most teams use agile methodologies, daily stand-ups, and collaborative platforms like GitHub or Jira to coordinate tasks and track progress. This structure ensures that AI Coders receive frequent feedback and can contribute ideas throughout the development cycle.

What are the key skills and qualifications needed to thrive as an AI coder, and why are they important?

To thrive as an AI Coder, you need strong programming skills (especially in Python), a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, as well as experience with version control systems such as Git, is essential. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with teams and explain complex solutions. These skills and qualities are crucial for developing, optimizing, and maintaining reliable AI models that address real-world challenges.

What is the difference between Ai Coder vs Data Scientist?

AspectAi CoderData Scientist
Required CredentialsProgramming skills, knowledge of AI frameworks, certifications in AI/MLStatistics, programming, data analysis certifications
Work EnvironmentSoftware development teams, AI research labsData analysis teams, research environments
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and algorithms, Ai Coders primarily focus on developing AI models and coding AI solutions, whereas Data Scientists analyze data to extract insights and inform business decisions. Ai Coders are more involved in software development, while Data Scientists emphasize statistical analysis and data interpretation.

How do you become an AI coder?

To become an AI coder, you typically need a strong foundation in programming languages such as Python or Java, along with knowledge of machine learning frameworks like TensorFlow or PyTorch. Earning a degree in computer science, data science, or a related field and gaining experience through projects or internships are common steps. Developing skills in algorithms, data structures, and mathematics is also essential for working effectively in AI development.

How much do AI coders make?

AI coders, also known as artificial intelligence programmers, typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can earn higher salaries, especially in tech hubs or large companies.

What are popular job titles related to Ai Coder jobs in Ontario?

For Ai Coder jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Ai Coder jobs in Ontario look for?

The top searched job categories for Ai Coder jobs in Ontario are:

What cities in Ontario are hiring for Ai Coder jobs?

Cities in Ontario with the most Ai Coder job openings:

Infographic showing various Ai Coder job openings in Ontario as of August 2026, with employment types broken down into 71% Full Time, 25% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

Senior Full Stack AI Developer

Messagepoint Inc

Toronto, ON โ€ข Remote

Full-time

Re-posted 7 days ago


Job description

About Messagepoint

Messagepoint is a privately-owned software company providing an AI-powered SaaS solution that enables enterprises to manage and personalize customer communications with greater speed, accuracy, and control. Our award-winning platform empowers business users to create and optimize compliant, personalized communications across digital and print channels using advanced content intelligence and large language models.

Messagepoint is headquartered in Toronto with employees located throughout Canada, the United States, France, and the UK.

Summary

We are seeking a Senior Full Stack AI Developer to join our Research and Development team and help advance our portfolio of AI-powered products. You will work across modern web applications that combine rich user experiences with intelligent, agent-driven backends, powered by large language models and integrated deeply into our enterprise platform.

As a senior member of the team, you will contribute across the full stack - building modern, performant front-end experiences and contributing to back-end services that power our AI-driven products. You will work alongside senior developers, test, and product management to ship high-quality features, raise the engineering bar, and help shape how we leverage AI across our codebase and our products.

Responsibilities:

  • Lead the migration of a legacy front-end from vanilla JavaScript / jQuery / HTML5 / CSS to a modern React-based stack.
  • Help maintain and enhance an existing Angular CLI front-end on a separate product.
  • Develop overall concepts for new and existing product features and components across our AI-powered product portfolio.
  • Contribute to back-end services in Python (agent workflows) and Node.js as priorities shift.
  • Write production-ready, secure, and performant code, and apply secure coding practices throughout design and delivery.
  • Own your work end-to-end through our CI/CD pipeline on GitLab - branching, merge requests, code review, build, test, and deploy - and track delivery in Jira.

Qualifications:

  • 5+ years of experience developing and shipping web applications.
  • Solid experience with React and modern JavaScript, HTML5, and CSS3.
  • Working knowledge of Angular - enough to be productive maintaining and enhancing an Angular CLI front-end.
  • Back-end experience in Node.js and/or Python.
  • Comfortable working with PostgreSQL or another relational database.
  • Hands-on experience with CI/CD pipelines (GitLab CI is a plus), Git workflows (branching, merge requests, code review), and Jira-based delivery.
  • Awareness of secure coding fundamentals.
  • Strong communication skills and the ability to collaborate effectively in a fast-paced environment.

Nice to Have:

  • Familiarity with agentic workflows and modern AI tooling - LangChain, LangGraph, RAG, function calling, and prompt engineering.
  • Experience integrating with LLM providers such as OpenAI and Anthropic, and with hosted model platforms such as AWS Bedrock.
  • Familiarity with cloud infrastructure on AWS - deploying, operating, and observing services in production.
  • Comfort using AI coding assistants (e.g., Claude Code, Augment Code, Cursor) as part of your daily development workflow.
  • Rough familiarity with Java/Spring and JSP.
  • Experience modernizing legacy front-ends to React in production environments.

Messagepoint is an Equal Opportunity Employer and encourages diversity and inclusion in the workplace.

We thank you for your interest, however, only those who qualify for an interview will be contacted.


This is a remote position open to candidates residing in Canada who are legally authorized to work in Canada. Compensation is benchmarked to the Canadian market and paid in Canadian dollars.