AI Engineer Intern — Hybrid, Toronto Growth & Learning

ShyftLabs; Toronto; On-site; CAD 28,000 - 41,000; Part time

Benefits offered by this job

Hybrid flexibility

Downtown Toronto office

Growth & learning resources

Job summary

ShyftLabs in Toronto is offering an AI Engineer Intern position focused on building production-ready AI agents and enterprise applications within the Continuum platform.

You will contribute across agent orchestration, memory systems, model optimization, retrieval, tools, guardrails, evaluation, and application development, writing clean Python and contributing to open-source projects.

Qualifications

• Pursuing or recently completed degree in CS/AI/DS/SE.
• Strong Python programming skills.
• Experience building at least one LLM-powered or agentic application.
• Familiarity with prompt engineering, embeddings, RAG, tool calling, and structured outputs.

Responsibilities

• Build and improve agent orchestration and multi-agent workflows.
• Develop agentic applications for enterprise use cases using Continuum.
• Work with 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 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.

Skills

Python

ML fundamentals

NLP basics

LLM applications

APIs

Git

Communication

Problem solving

Education

Pursuing or recently completed CS/AI/DS/SE degree

Tools

LangGraph

LangChain

LlamaIndex

Milvus

Neo4j

Job description

ShyftLabs in Toronto is offering an AI Engineer Intern position focused on building production-ready AI agents and enterprise applications within the Continuum platform.

You will contribute across agent orchestration, memory systems, model optimization, retrieval, tools, guardrails, evaluation, and application development, writing clean Python and contributing to open-source projects.