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Internship Backend Engineer Jobs in Toronto, ON (NOW HIRING)

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Engineer, Software

Toronto, ON · On-site

CA$185K - CA$225K/yr

Lead by doing - mentor contractors and interns, set a high standard through code reviews, and bring ... Strong backend proficiency in Python or Node.js; fluent in designing and maintaining scalable APIs

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Internship Backend Engineer information

What does an internship backend engineer do?

An Internship Backend Engineer assists in building and maintaining the server-side logic, databases, and APIs for web or mobile applications. Interns typically work alongside experienced engineers to write clean, efficient code, troubleshoot bugs, and help implement new features. They also learn about backend frameworks, security practices, and data management. The role is a valuable opportunity to gain hands-on experience in backend development and understand how large-scale systems operate.

What kinds of projects and responsibilities can I expect as an internship backend engineer?

As an Internship Backend Engineer, you can typically expect to work on tasks such as developing and maintaining APIs, writing and testing server-side logic, and collaborating with frontend engineers to integrate new features. You'll likely participate in code reviews, debugging sessions, and team stand-ups, giving you exposure to real-world software development practices. While you may start with smaller tasks, many teams encourage interns to gradually take on more complex projects as they gain confidence and skills. This hands-on experience is invaluable for learning best practices, understanding scalable architectures, and building a strong foundation for a future career in backend development.

What are the key skills and qualifications needed to thrive as an internship backend engineer, and why are they important?

To thrive as an Internship Backend Engineer, you need a solid understanding of server-side programming languages (such as Python, Java, or Node.js), databases, and basic software engineering principles, often supported by relevant coursework or personal projects. Familiarity with version control systems like Git, RESTful APIs, and cloud platforms such as AWS or Azure is typically required. Strong problem-solving skills, attention to detail, and effective communication help interns collaborate and learn quickly in team environments. These skills are crucial for contributing to robust, scalable backend systems and for adapting to the fast-paced demands of a software development team.

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

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

What are popular job titles related to Internship Backend Engineer jobs in Toronto, ON?

For Internship Backend Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Internship Backend Engineer jobs in Toronto, ON look for?

The top searched job categories for Internship Backend Engineer jobs in Toronto, ON are:

Internship Backend Engineer jobs near you
Infographic showing various Internship Backend Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 24% Internship, and 76% Full Time. Highlights an 100% In-person job distribution.

Generative AI & Machine Learning Developer

Veracity Ventures Inc.

Toronto, ON • Remote

Full-time

Posted 14 days ago

Job description

Generative AI & Machine Learning Developer
Location: Canada – Fully Remote
Experience: 0–9 Years
Employment Type: Full-Time
Position Overview
We are seeking a motivated Generative AI & Machine Learning Developer to contribute to the design, development, and implementation of AI-driven solutions. Candidates with strong academic, internship, project, or professional experience are encouraged to apply.
Key Responsibilities
  • Develop and integrate Generative AI and Machine Learning solutions using Python.
  • Work with Large Language Models (LLMs), prompt engineering, and AI workflows.
  • Build and integrate AI-powered applications, APIs, and data pipelines.
  • Perform data preparation, model evaluation, testing, and optimization.
  • Collaborate with technical teams to develop scalable and reliable AI solutions.
Required & Preferred Skills
  • Strong foundation in Python, Machine Learning, AI, and Generative AI/LLMs.
  • Knowledge of NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
  • Familiarity with RAG, LangChain, NLP, Vector Databases, or AI Agents is preferred.
  • Exposure to LLM APIs, REST APIs, Git/GitHub, and AWS/Azure/GCP is an advantage.
  • Strong analytical, problem-solving, communication, and collaboration skills.
Eligibility
  • 0–9 years of relevant experience; freshers and recent graduates are welcome.

  •  Canadian Permanent Residents (PR) and valid Canadian Open Work Permit (OWP) holders only. 
  • Employer sponsorship is not available.

  • Location: Fully Remote – Canada.

This is a remote position.