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Entry Level Ai Software Engineer Jobs in Toronto, ON

Guidewire Software

Software Engineer

Toronto, ON · On-site

CA$70K - CA$88K/yr

... Software Engineer to build elegant solutions for the property & casualty insurance industry ... As part of PDO's shift toward AI-driven development, you will use AI-native coding approaches and ...

Guidewire Software

Software Engineer

Mississauga, ON · On-site

CA$70K - CA$88K/yr

... Software Engineer to build elegant solutions for the property & casualty insurance industry ... As part of PDO's shift toward AI-driven development, you will use AI-native coding approaches and ...

INSTALILY.AI

Software Engineer II - Toronto

Toronto, ON

CA$90K - CA$110K/yr

Develop InstaLILY's AI platform and drive technical excellence throughout the organization * Work ... Build a rapport with the Lead Software Engineer and Head of Product while fostering a culture of ...

AutoTrader.ca

Software Engineer

Toronto, ON · On-site

We are looking for a Software Engineer who wants to grow with a product engineering team that is ... Use AI tools responsibly to improve speed, code quality, documentation, testing, and analysis.

Ritchie Bros.

Software Engineer

Mississauga, ON · On-site

Continuously explore and adopt AI tools and frameworks * Support application portfolio for "level ... Bachelor's degree in Computer Science, Software Engineering, or a related field, OR equivalent ...

Spscommerce

Software Engineer

Brampton, ON · On-site +1

CA$83K - CA$125K/yr

Bring ideas to the table-we are an active adopter of agentic and AI-assisted development tooling Requirements: Required: * 2+ years of professional software engineering experience * Proficiency in ...

Td

Software Engineer I

Toronto, ON · On-site

CA$69K - CA$98K/yr

You use AI-assisted engineering tools only within approved guidance, treating generated outputs as ... Solid software engineering fundamentals, including coding, debugging, unit testing, source control ...

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Entry Level Ai Software Engineer information

What does an entry level AI software engineer do?

An Entry Level AI Software Engineer assists in designing, developing, and implementing artificial intelligence models and applications. They typically work under the guidance of senior engineers, helping with tasks such as data preprocessing, coding algorithms, testing models, and integrating AI features into larger systems. Their responsibilities may also include debugging code, documenting processes, and staying updated with the latest AI trends and technologies. This role is ideal for those who have a foundational understanding of programming and machine learning concepts and are eager to grow their skills in the rapidly evolving field of AI.

What are the key skills and qualifications needed to thrive as an entry level AI software engineer?

To thrive as an Entry Level AI Software Engineer, you need a solid grasp of programming languages like Python or Java, foundational knowledge in machine learning algorithms, and a relevant degree in computer science or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, version control systems like Git, and basic data handling tools is typically expected. Strong problem-solving abilities, teamwork, and effective communication help you collaborate with cross-functional teams and articulate complex ideas. These skills and qualities ensure you can contribute to AI projects efficiently and adapt to the rapidly evolving field of artificial intelligence.

What types of projects and responsibilities can an entry level AI software engineer expect in their first year on the job?

As an Entry Level AI Software Engineer, you can typically expect to work on tasks like cleaning and preparing datasets, implementing basic machine learning models, and supporting senior engineers with model evaluation and deployment. You may also be responsible for writing production-ready code, collaborating with data scientists, and participating in code reviews. The work environment is often team-oriented, with frequent opportunities to learn from experienced colleagues and contribute to ongoing research or product development. Over time, you'll gain exposure to more complex projects and may be given greater ownership of specific features or modules.

What is the difference between Entry Level Ai Software Engineer vs Data Scientist?

AspectEntry Level Ai Software EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; some knowledge of programming and AI frameworksBachelor's or higher in CS, Statistics, or related; programming skills; knowledge of data analysis
Work EnvironmentSoftware development teams, tech companies, AI startupsData analysis teams, research labs, tech firms
Employer & Industry UsageTech companies, AI startups, R&D departmentsResearch institutions, tech firms, finance, healthcare

While both roles require programming skills and a background in AI or data analysis, Entry Level Ai Software Engineers focus on developing AI applications and software, whereas Data Scientists analyze data to extract insights. The roles often overlap in tech environments, but their core responsibilities differ.

What are the most commonly searched types of Ai Software Engineer jobs in Toronto, ON?

The most popular types of Ai Software Engineer jobs in Toronto, ON are:

What are popular job titles related to Entry Level Ai Software Engineer jobs in Toronto, ON?

For Entry Level Ai Software Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Software Engineer jobs in Toronto, ON look for?

The top searched job categories for Entry Level Ai Software Engineer jobs in Toronto, ON are:

Entry Level Ai Software Engineer jobs near you
Infographic showing various Entry Level Ai Software Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% Hybrid, and 50% Remote job distribution.

Sr. Machine Learning Software Verification Engineer

Talentlab

Toronto, ON

Full-time

Posted 15 days ago

Job description

AI Software Test / Validation Engineer

Location: Toronto, ON
Job Type: Full-Time
Industry: Technology / AI / Semiconductor

About the Role

Our client is a global technology leader developing next-generation AI and machine learning solutions for on-device applications across mobile, automotive, IoT, and computing platforms.

We are looking for an AI Software Test / Validation Engineer to join a team focused on validating high-performance AI software and machine learning solutions. This role will involve developing test strategies, automation frameworks, and test cases to ensure the quality, reliability, and performance of AI software running on next-generation computing platforms.

This is a software testing and validation role, not a data science position.

What You’ll Do
  • Validate AI and machine learning software SDK features on computing platforms.
  • Develop and execute test cases to verify AI software functionality, performance, and reliability.
  • Test applications and developer tools supporting the AI software stack.
  • Develop, maintain, and improve automated software test frameworks.
  • Analyze customer use cases and translate requirements into effective test scenarios.
  • Work closely with software development teams to identify, reproduce, and resolve issues.
  • Support regression testing, triage failures, analyze defects, and track issues through resolution.
  • Contribute to continuous integration and automated testing processes.
  • Help improve overall software quality, test coverage, and validation processes.
What You’ll Bring
  • 2+ years of professional experience in software development, software testing, or validation.
  • Bachelor's degree in Computer Science, Engineering, or a related discipline; Master's or PhD is an asset.
  • 1+ year of experience with Python and scripting languages.
  • 1+ year of experience with C++.
  • Experience with Jenkins or other CI/CD tools.
  • Strong software debugging and problem-solving skills.
  • Experience with Git or other version control systems.
  • Experience working in Linux and Windows development environments.
  • Strong communication skills and the ability to collaborate effectively within a multidisciplinary engineering team.
Nice to Have
  • Experience with embedded systems development or testing.
  • Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or ONNX.
  • Knowledge of modern Generative AI / GenAI models.
  • Experience developing automated test frameworks for software or embedded platforms.
  • Familiarity with AI/ML software stacks and hardware-accelerated computing.
Why This Role?

This is an opportunity to work at the intersection of AI, software engineering, and automated testing, helping bring next-generation on-device AI technologies from development into production. You’ll work alongside experienced software and AI engineers while contributing directly to the quality and reliability of cutting-edge AI platforms.