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

... gaming and other real time data streams. We are seeking talented individuals to work on solving ... Participate in lab bring-up and debugging activities under guidance from senior engineers.

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Game Security Engineer Intern information

What does a game security engineer intern do?

A Game Security Engineer Intern assists in identifying, analyzing, and resolving security vulnerabilities in video games and gaming platforms. Their responsibilities may include monitoring for cheating, preventing hacking attempts, and helping to develop anti-cheat systems. They work closely with senior security engineers to ensure a secure and fair gaming experience for players. Interns often use programming, reverse engineering, and analytical skills to support the security infrastructure of games.

What types of projects and tasks can a game security engineer intern expect to work on during their internship?

As a Game Security Engineer Intern, you can expect to work on projects focused on identifying and mitigating security risks within online games. Typical tasks include analyzing game code for vulnerabilities, assisting with the implementation of anti-cheat measures, monitoring for suspicious activity, and contributing to incident response efforts. You'll often collaborate with game developers, QA testers, and senior security engineers to ensure a secure gaming experience. This hands-on exposure provides valuable insights into both cybersecurity and the gaming industry, often leading to future full-time opportunities.

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

To thrive as a Game Security Engineer Intern, you need a solid understanding of computer science fundamentals, cybersecurity principles, and programming languages such as C++ or Python, typically gained through coursework or relevant internships. Familiarity with security tools, penetration testing frameworks, and version control systems like Git is commonly expected. Strong analytical thinking, problem-solving abilities, and effective communication skills help you identify vulnerabilities and collaborate with development teams. These competencies are crucial for protecting game integrity, preventing cheating, and ensuring a safe gaming environment for players.

What is the difference between Game Security Engineer Intern vs Game Security Analyst Intern?

AspectGame Security Engineer InternGame Security Analyst Intern
Required CredentialsRelevant coursework, basic understanding of cybersecurity, programming skillsSimilar credentials, focus on security analysis and monitoring
Work EnvironmentHands-on security development, code review, vulnerability testingSecurity monitoring, incident analysis, reporting
Employer & Industry UsageGame development companies, cybersecurity teams in gamingGame studios, security firms specializing in gaming

Both roles are entry-level internships focused on game security, with overlapping credentials and industry usage. The Game Security Engineer Intern emphasizes technical security development and testing, while the Game Security Analyst Intern concentrates on analyzing security incidents and monitoring systems. Understanding these differences helps candidates choose the role that best fits their skills and career goals.

Infographic showing various Game Security Engineer Intern job openings in Toronto, ON as of June 2026, with employment types broken down into 1% Internship, 53% Full Time, 19% Part Time, 5% Temporary, 21% Contract, and 1% Nights. Highlights an 91% Physical, 5% Hybrid, and 4% Remote job distribution.

AI Engineer Intern

ShyftLabs

Toronto, ON โ€ข Hybrid

CA$20 - CA$30/hr

Internship

Re-posted 17 days ago


Key responsibilities

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

  • Develop agentic applications for enterprise use cases using Continuum.

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


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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