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Technical Engineer Intern Jobs in Ontario (NOW HIRING)

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

TULLOCH

Structural Engineering Intern

Huntsville, ON · On-site

CA$75K - CA$92K/yr

Complete, check, and review technical deliverables including reports, technical notes, drawings ... You are a registered Civil Engineering Intern * You have 0-3 years of experience in the civil ...

Ciena

WaveLogic Software - Intern

Ottawa, ON · On-site

CA$25 - CA$35/hr

... engineering environment. This role offers the opportunity to work on software projects that are ... Apply new ideas to technical challenges. * Participate in the development of embedded software ...

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Technical Engineer Intern information

What is the difference between Technical Engineer Intern vs Technical Support Specialist?

AspectTechnical Engineer InternTechnical Support Specialist
Required CredentialsTypically pursuing or recent graduate in engineering or related fieldHigh school diploma or equivalent; some technical certifications
Work EnvironmentInternship setting, often in engineering labs or project teamsCustomer service centers, help desks, or remote support
Employer & Industry UsageEngineering firms, tech companies, manufacturingIT companies, tech support providers, electronics retailers
Common Search & Comparison IntentUnderstanding internship roles in engineeringSupport roles in technical customer service

The Technical Engineer Intern typically focuses on assisting engineering teams with technical projects and gaining hands-on experience in engineering environments. In contrast, the Technical Support Specialist primarily provides technical assistance to customers, troubleshooting issues remotely or on-site. While both roles require technical knowledge, the intern role emphasizes learning and development within engineering projects, whereas the support role centers on customer service and problem resolution.

What types of projects or tasks can a technical engineer intern expect to work on during their internship?

As a Technical Engineer Intern, you can expect to be involved in a variety of hands-on and collaborative projects such as assisting with system troubleshooting, supporting hardware and software installations, and participating in product testing or quality assurance. Interns often work closely with experienced engineers and cross-functional teams to solve technical challenges and contribute to ongoing projects. This role provides practical exposure to real-world engineering workflows and offers valuable opportunities to build technical skills and professional relationships.

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

To thrive as a Technical Engineer Intern, you need a solid understanding of engineering fundamentals, problem-solving abilities, and typically be pursuing a degree in engineering or a related field. Familiarity with CAD software, programming languages, and basic project management tools is highly beneficial. Strong communication, adaptability, and a willingness to learn help you collaborate effectively within teams and absorb new technical concepts quickly. These skills and qualities are crucial for contributing to projects, supporting senior engineers, and maximizing your learning during the internship.

What is a technical engineer intern?

Technical Engineer Interns are students or recent graduates who work temporarily within engineering teams to gain practical experience. They assist with tasks such as troubleshooting technical issues, conducting tests, preparing reports, and supporting project development under the guidance of experienced engineers. Their role is to apply theoretical knowledge from their studies to real-world engineering challenges, learning industry practices and technologies in the process. Internships help them build skills, expand professional networks, and enhance their resumes for future engineering careers.
What are the most commonly searched types of Technical Engineer jobs in Ontario? The most popular types of Technical Engineer jobs in Ontario are:
What are popular job titles related to Technical Engineer Intern jobs in Ontario? For Technical Engineer Intern jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Technical Engineer Intern jobs in Ontario look for? The top searched job categories for Technical Engineer Intern jobs in Ontario are:
What cities in Ontario are hiring for Technical Engineer Intern jobs? Cities in Ontario with the most Technical Engineer Intern job openings:
Technical Engineer Intern jobs near you
Infographic showing various Technical Engineer Intern job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

AI Engineer Intern

ShyftLabs

Toronto, ON • Hybrid

CA$20 - CA$30/hr

Internship

Posted 20 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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