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Entry Level Ai Software Engineer Jobs in Ontario

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.

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 ...

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 ...

Software Engineer

Kanata, ON · On-site

CA$100K - CA$135K/yr

  • PTO

AI-ready data from the start, AI-assisted analytics that surface issues before they escalate, and ... About the Role We'rehiring a Software Engineer who is genuinelystrong on both the front end and the ...

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 ...

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 ...

As an Embedded Software Engineer, you will develop the core software that directly interfaces with ... Explain how you used AI while building it * Describe one engineering challenge you encountered Then ...

As our TT-Distributed Software Engineer, you will develop and optimize distributed software systems that power the most efficient and highest-performing AI and HPC clusters. In this role, you'll work ...

We protect how people, data, and AI agents connect across email, cloud, and collaboration tools ... The ideal Software Developer for Proofpoint has a deep understanding of what makes web applications ...

As a Software Developer , you will build and own the backend services, infrastructure, and data ... Access to the best AI tools on the market and continuous AI skill-building for every employee ...

We protect how people, data, and AI agents connect across email, cloud, and collaboration tools ... The ideal Software Developer for Proofpoint has a deep understanding of what makes web applications ...

Software Developer (Entry Level)

Toronto, ON · Hybrid

CA$85K - CA$95K/yr

  • Medical

  • Retirement

About The Role As an entry level Software Developer you'll be tasked with working on both mobile and web applications. Working within the software development team, your duties will require you to ...

You will be a member of the AI Engineering and Labs team focused on designing and implementing innovative, intelligent software solutions across the Bank's business lines. Your role will be an ...

AI Engineer

Kitchener, ON · On-site

  • Medical

  • Dental

  • Vision

  • Life

An AI-native software engineer. You've integrated AI deeply into how you build software-not as a novelty, but as a core part of your workflow. You ship faster because of it, with higher standards ...

Showing results 21-40

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 Ontario?

The most popular types of Ai Software Engineer jobs in Ontario are:

What are popular job titles related to Entry Level Ai Software Engineer jobs in Ontario?

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

What cities in Ontario are hiring for Entry Level Ai Software Engineer jobs?

Cities in Ontario with the most Entry Level Ai Software Engineer job openings:

Infographic showing various Entry Level Ai Software Engineer job openings in Ontario as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution.

Machine Learning Software Engineer

Royal Bank of Canada

Toronto, ON

Full-time

Re-posted 10 days ago


Job description

Job Description


What's the opportunity?

RBC Borealis is looking for an enthusiastic software developer who's excited by the opportunity of working on challenging problems at the intersection of machine learning and the financial services industry. As a Machine Learning Software Engineer, you'll be responsible for owning and delivering a project end to end - everything from data pre-processing and exploration, to building and scaling ML algorithms and pipelines, to deployment and monitoring of production systems. At RBC Borealis, you'll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support cutting-edge machine learning R&D.

Your responsibilities include:

  • To build cutting edge ML solutions throughout the research and product development lifecycle;

  • To play a key role in the design and development of Borealis' machine learning products;

  • To partner with RBC Borealis's research and product teams to ensure the seamless delivery of these products;

  • To apply engineering and data best practices to build robust and scalable large-scale machine learning software systems;

  • To support projects with thorough documentation, design decisions, and technical advisory.

You're our ideal candidate if you have:

  • Experience building modular and robust software systems in Python or similar language;

  • Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management;

  • Experience working across the entire ML research and product lifecycle from prototyping to production is a plus;

  • Experience building microservices, data pipelines and using relational and non-relational databases is a plus;

  • Experience working with data science tooling and deep learning frameworks is a plus;

  • Experience with DevOps engineering (CI/CD pipelines, observability, containers etc) is a plus.

What's in it for you?

  • Be part of a dynamic & flexible working environment;

  • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;

  • Leaders who support your development through coaching and managing opportunities;

  • Ability to make a difference and lasting impact from a local-to-global scale.

About the AI Group

RBC's AI Group is the AI accelerator for RBC, with a focus on driving the shift from early-stage AI projects to scaled, client outcomes that amplify the impact of RBC's people. In addition to helping scale the biggest AI opportunities at RBC, the AI Group is responsible for advancing research into emerging use cases across generative and agentic AI, while maintaining expertise in security, responsible AI and regulatory expectations. The Business Enablement function within the AI Group partners with LOBs and Functions to set AI ambition, originate transformation opportunities, and frame programs for delivery - ensuring RBC remains at the frontier of AI-enabled value creation.

Inclusion and Equal Opportunity Employment

RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

#Ll-POST

#TechPJ

Job Skills

Big Data Analytics, Critical Thinking, Decision Making, Industry Knowledge, Machine Learning (ML), Software Engineering, Software Product Design

Additional Job Details

Address:

777 BAY ST, TH 27:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

HUMAN RESOURCES & BMCC

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-07-27

Application Deadline:

2026-09-30

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Employment Type: FULL_TIME