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Software Engineer Intern Cpt Jobs in Toronto, ON

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.

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.

We are actively seeking a Mechanical Engineer Intern to join CRB. Join our firm for an internship ... Tasks will include utilizing computer aided drafting and engineering software. Core ...

Software Engineer Co-op

Toronto, ON · On-site

CA$20 - CA$24/hr

Computer Methods International Corp. (CMiC) is a Software Development firm specializing in ... engineering intern to join our team and help modernize and support our enterprise legacy ...

Software Engineer Co-op

Toronto, ON · On-site

CA$20 - CA$24/hr

Computer Methods International Corp. (CMiC) is a Software Development firm specializing in ... engineering intern to join our team and help modernize and support our enterprise legacy ...

... Intern, you will work closely with our engineering team to design, develop, and maintain the technical infrastructure and software that power our applications and systems. This immersive internship ...

Participate in lab bring-up and debugging activities under guidance from senior engineers ... This position may require access to technology and/or software subject to U.S. export control laws ...

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Showing results 1-20

Software Engineer Intern Cpt information

What kind of projects and team collaboration can a software engineer intern expect during their CPT experience?

As a Software Engineer Intern on CPT, you'll typically work on real-world projects alongside full-time engineers, contributing to codebases, debugging issues, and possibly developing new features. You'll often participate in daily stand-ups, code reviews, and sprint planning meetings, allowing you to collaborate closely with both engineers and product managers. The environment is usually fast-paced and supportive, offering mentorship and opportunities to learn about industry best practices. This hands-on experience is designed to help you build technical skills, understand agile workflows, and prepare you for a full-time engineering role.

What are the key skills and qualifications needed to thrive as a software engineer intern CPT, and why are they important?

To thrive as a Software Engineer Intern CPT, you need a solid understanding of programming languages, data structures, algorithms, and typically must be enrolled in a relevant degree program. Familiarity with development tools like Git, IDEs, and issue tracking systems, as well as knowledge of modern frameworks, is commonly expected. Strong problem-solving abilities, teamwork, and effective communication help interns contribute meaningfully and integrate into engineering teams. These skills enable interns to quickly learn, adapt, and add value in a professional software development environment.

What is a software engineer intern CPT?

A Software Engineer Intern CPT (Curricular Practical Training) is a student pursuing a degree in computer science or a related field who works as a software engineering intern in the United States under CPT authorization. CPT allows international students on F-1 visas to gain practical experience related to their major as part of their academic curriculum. These internships typically involve tasks like coding, software development, testing, and collaborating with engineering teams, and they help students gain real-world experience while completing their studies.
Infographic showing various Software Engineer Intern Cpt job openings in Toronto, ON as of August 2026, with employment types broken down into 1% Internship, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

AI Engineer Intern

ShyftLabs

Toronto, ON • Hybrid

CA$20 - CA$30/hr

Internship

Posted 26 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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