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Infrastructure Engineer Intern Jobs in Toronto, ON

AI Engineer Intern

Toronto, ON ยท Hybrid

CA$20 - CA$30/hr

We are looking for an AI Engineer Intern interested in building production-ready AI agents and ... Optimize prompts, model usage, token consumption, response time, and infrastructure costs. * Build ...

GHD is currently seeking an Intern to work with our groups on projects related to Environment ... infrastructure, environmental stewardship, and community development. The objective of GHD ...

... data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier ... Participate in lab bring-up and debugging activities under guidance from senior engineers.

We are the world's trusted infrastructure consulting firm, partnering with clients to solve the ... Participate in site inspections under supervision of an experienced engineer * Participate in ...

We are the world's trusted infrastructure consulting firm, partnering with clients to solve the ... AECOM is seeking a Civil Engineering Intern to be based at one of our Greater Toronto Area ...

... 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 ...

Developer Relations Intern

Toronto, ON ยท Remote

CA$8 - CA$16/hr

By contributing to the development of the infrastructure and supporting the community, BNB Chain is ... Role Summary We are looking for a passionate Developer Relations Intern to join our global DevRel ...

We are WSP The Opportunity Build the Future with Us Step into the world of power systems and help shape the infrastructure that keeps communities connected. As an Electrical Engineering Intern (Fall ...

We are WSP The Opportunity Build the Future with Us Step into the world of power systems and help shape the infrastructure that keeps communities connected. As an Electrical Engineering Intern (Fall ...

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Infrastructure Engineer Intern information

What is the difference between Infrastructure Engineer Intern vs Network Engineer Intern?

AspectInfrastructure Engineer InternNetwork Engineer Intern
Required CredentialsTypically pursuing or holding a degree in Computer Science, IT, or related fields; certifications like Cisco CCNA are commonSimilar educational background; often pursuing certifications like Cisco CCNA or CompTIA Network+
Work EnvironmentInvolves working on server infrastructure, cloud platforms, and system deploymentFocuses on designing, implementing, and maintaining network systems and hardware
Employer & Industry UsageUsed across tech companies, data centers, and cloud service providersCommon in telecommunications, enterprise IT, and networking service providers
Comparison Search IntentOften compared due to overlapping skills in infrastructure and networking

While both roles involve working with IT infrastructure, the Infrastructure Engineer Intern focuses on overall system and server infrastructure, whereas the Network Engineer Intern specializes in network hardware and connectivity. Both roles require similar foundational certifications and are found in similar industries, but their specific focus areas differ.

What types of projects can an infrastructure engineer intern expect to work on during their internship?

As an Infrastructure Engineer Intern, you can expect to work on a variety of hands-on projects such as setting up development and production environments, automating deployment processes, and monitoring system performance. Interns often collaborate closely with experienced engineers to troubleshoot network or server issues and may contribute to documentation or infrastructure upgrades. These projects are designed to provide exposure to real-world challenges and help interns develop practical skills in cloud services, scripting, and system administration.

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

To thrive as an Infrastructure Engineer Intern, you need a solid understanding of networking concepts, operating systems, and basic scripting, often supported by coursework in computer science or related fields. Familiarity with tools such as Linux, Windows Server, virtualization platforms, and cloud services like AWS or Azure is typically expected. Strong analytical thinking, attention to detail, and effective communication help interns excel in troubleshooting and collaborating with IT teams. These skills and qualities are crucial for maintaining reliable systems and efficiently supporting infrastructure projects in a dynamic technology environment.

What does an infrastructure engineer intern do?

An Infrastructure Engineer Intern supports the design, implementation, and maintenance of an organization's IT infrastructure, which includes servers, networks, and cloud services. They often assist senior engineers with tasks like system monitoring, troubleshooting, and deploying updates. The role provides hands-on experience with various technologies and helps interns develop skills in areas such as network security, automation, and cloud computing. Infrastructure Engineer Interns typically work closely with IT teams to ensure systems run smoothly and securely.
What are the most commonly searched types of Infrastructure Engineer jobs in Toronto, ON? The most popular types of Infrastructure Engineer jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Infrastructure Engineer Intern jobs? Cities near Toronto, ON with the most Infrastructure Engineer Intern job openings:
Infographic showing various Infrastructure Engineer Intern job openings in Toronto, ON as of August 2026, with employment types broken down into 83% Full Time, 12% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

AI Engineer Intern

ShyftLabs

Toronto, ON โ€ข Hybrid

CA$20 - CA$30/hr

Internship

Posted 22 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
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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.
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Here's what you can expect when you join our team:
-Hybrid Flexibility:ย 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:ย Access extensive learning and development resources to keep leveling up your skills.
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Inclusion at ShyftLabs
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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.
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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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