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Microsoft Software Engineer Intern Jobs in Toronto, ON

ShyftLabs

AI Engineer Intern

Toronto, ON · Hybrid

CA$20 - CA$30/hr

We are looking for an AI Engineer Intern interested in building production-ready AI agents and ... Experience working with APIs, Git, databases, and standard software engineering practices.

Perseus Group

Software Developer Intern

Markham, ON

CA$22.50 - CA$27.50/hr

The Software Developer Intern works in a Scrum team to build high-performing, resilient, and manageable web-based ERP software for homebuilders, using AI-assisted development throughout the SDLC.

CRB

Mechanical Engineer Intern - Fall

Toronto, ON

Tasks will include utilizing computer aided drafting and engineering software. Core ... Experience with Microsoft Office suite (Outlook, Word, Excel, PowerPoint, OneNote) * Interest in ...

Distributech

Software Engineer

Toronto, ON · Remote

CA$8/hr

Experience developing or supporting applications hosted in Microsoft Azure. * Strong understanding of object-oriented programming, software design principles, and secure coding practices * Experience ...

InvestorCOM

Software Engineer

Toronto, ON · Remote

Experience developing or supporting applications hosted in Microsoft Azure. * Strong understanding of object-oriented programming, software design principles, and secure coding practices * Experience ...

InvestorCOM

Software Engineer

Toronto, ON · Remote

Experience developing or supporting applications hosted in Microsoft Azure. * Strong understanding of object-oriented programming, software design principles, and secure coding practices * Experience ...

hireVouch

Software Engineer - .NET/React

Toronto, ON · Hybrid

Strong knowledge of Microsoft platform, including Windows Server, Internet Information Services ... software engineering experience * Post-secondary education in Computer Science or a similar ...

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Microsoft Software Engineer Intern information

What are the key skills and qualifications needed to thrive as a Microsoft Software Engineer Intern, and why are they important?

To thrive as a Microsoft Software Engineer Intern, you typically need a solid grasp of computer science fundamentals, proficiency in programming languages like C#, Java, or Python, and active enrollment in a relevant degree program. Familiarity with version control systems (such as Git), Microsoft Azure, and development tools like Visual Studio is highly beneficial. Strong problem-solving skills, collaboration, and effective communication help interns stand out in dynamic team environments. These competencies are crucial for successfully contributing to real-world projects, learning quickly, and integrating with Microsoft's fast-paced engineering teams.

What types of projects does a Microsoft Software Engineer Intern work on, and how is their work integrated with full-time teams?

Microsoft Software Engineer Interns are usually assigned to real-world projects that contribute directly to the company's products or services. Interns often collaborate with experienced engineers, attend regular team meetings, and participate in code reviews. This close integration allows interns to learn best practices, receive mentorship, and see the impact of their work. Projects may range from developing new features to improving existing systems, ensuring that interns gain practical experience and valuable insight into the software development lifecycle at Microsoft.

What does a Microsoft Software Engineer Intern do?

A Microsoft Software Engineer Intern works on real-world projects alongside experienced engineers, contributing to the design, development, and testing of software products and services. Interns collaborate with teams, write code, debug issues, and participate in code reviews. The internship offers an opportunity to learn new technologies, gain hands-on experience, and understand Microsoft's software development lifecycle.

What is the difference between Microsoft Software Engineer Intern vs Microsoft Software Engineer?

AspectMicrosoft Software Engineer InternMicrosoft Software Engineer
Required CredentialsCurrently pursuing or recently completed a Bachelor's or Master's degree in Computer Science or related fieldBachelor's or Master's degree in Computer Science or related field, with relevant experience
Work EnvironmentTemporary internship, often summer-based, with mentorship and trainingFull-time, permanent position with ongoing project responsibilities
Employer & Industry UsageInternship program at Microsoft, targeting students for entry-level experienceFull-time role at Microsoft, focused on software development and engineering

The main difference between a Microsoft Software Engineer Intern and a Microsoft Software Engineer is the level of experience and employment status. Interns are typically students gaining practical experience through temporary programs, while full-time engineers have completed their education and work on ongoing projects within the company.

Infographic showing various Microsoft Software Engineer Intern job openings in Toronto, ON as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

AI Engineer Intern

ShyftLabs

Toronto, ON • Hybrid

CA$20 - CA$30/hr

Internship

Posted 19 days ago

Job description

About ShyftLabs

At ShyftLabs, we live and breathe data. Since 2020, we've been helping Fortune 500 companies unlock growth through innovative digital solutions that drive real business impact. With teams across Canada, the U.S., and India, we're growing quickly and looking for curious, motivated individuals who are excited to learn, build, and solve meaningful problems with technology.

About Continuum

Continuum is an enterprise AI agent execution and control platform designed to help teams build, run, and deploy reliable agentic applications. It provides agent orchestration, multi-model routing, persistent memory, tool integration, durable workflows, governance, guardrails, evaluation, and observability.

We are looking for an AI Engineer Intern interested in building production-ready AI agents and applications. You will contribute to the Continuum platform while also using it to build agentic applications for real enterprise use cases.

This is a hands-on engineering role. You will work across agent orchestration, memory systems, model optimization, retrieval, tools, guardrails, evaluation, and application development.

What You'll Be Doing

  • Build and improve agent orchestration and multi-agent workflows.

  • Develop agentic applications for enterprise use cases using Continuum.

  • Work with different commercial and open-source models, including OpenAI, Anthropic, Gemini, Llama, Qwen, Mistral, and others.

  • Improve intelligent model routing based on task complexity, quality, latency, and cost.

  • Build persistent memory and state-management capabilities for long-running agent workflows.

  • Develop tool-calling functionality and integrations with APIs, databases, and enterprise systems.

  • Work with MCP servers and function tools to connect agents with external services.

  • Design context-engineering and retrieval pipelines using vector and graph databases.

  • Implement AI guardrails for safety, security, access control, data privacy, and policy enforcement.

  • Create evaluation pipelines to measure accuracy, groundedness, hallucination, tool usage, workflow completion, latency, and cost.

  • Improve the observability and traceability of agent decisions, tool calls, and workflow execution.

  • Optimize prompts, model usage, token consumption, response time, and infrastructure costs.

  • Build APIs, backend services, and user-facing prototypes for agentic applications.

  • Write clean, reusable, well-tested, and documented Python code.

  • Contribute to Continuum's open-source codebase, examples, documentation, and developer experience.

What We Are Looking For

  • Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.

  • Strong programming skills in Python.

  • Good understanding of machine learning, natural language processing, and LLM fundamentals.

  • Experience building at least one LLM-powered or agentic application.

  • Familiarity with prompt engineering, embeddings, RAG, tool calling, and structured outputs.

  • Experience working with APIs, Git, databases, and standard software engineering practices.

  • Ability to research complex technical problems, experiment with different approaches, and clearly communicate results.

  • Strong interest in building reliable AI systems, not just basic LLM demos

Nice to Have

  • Experience with agent frameworks such as LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI, or similar technologies.

  • Familiarity with OpenAI, Anthropic, Gemini, AWS Bedrock, or open-source models.

  • Experience with vector databases such as Milvus, Pinecone, Weaviate, or Chroma.

  • Experience with graph databases such as Neo4j.

  • Knowledge of PostgreSQL, Redis, Docker, Kubernetes, or cloud infrastructure.

  • Familiarity with AI observability and evaluation tools such as Langfuse.

  • Understanding of multi-tenancy, identity management, authorization, or enterprise security.

  • Experience with model routing, inference optimization, prompt compression, or cost optimization.

  • Contributions to open-source AI projects, research, hackathons, or technically strong personal projects.

Hourly Pay
  • $20 - $30/Hr (CAD)
Why You'll Love Working at ShyftLabs
 
At ShyftLabs, your work matters. We're a growing data product company making a big impact with Fortune 500 clients and as we scale, you'll have the chance to shape solutions, influence strategy, and grow your career alongside us.
 
Here's what you can expect when you join our team:
-Hybrid Flexibility: Enjoy a hybrid model with three days per week in our Toronto office.
-Downtown Toronto Office: Work in the heart of the city.
-Growth & Learning: Access extensive learning and development resources to keep leveling up your skills.
 
Inclusion at ShyftLabs
 
We're building something big, and we want you on the journey with us. If you're ready to use data and innovation to make an impact, apply today and let's grow together.
 
ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply. If you require accommodation during the interview process, let us know and we'll be happy to support you.
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