Instructor – Agentic AI Systems Engineering (Part-Time, Remote across Canada)

Job Type: Part-Time, Contract

Pay: $65.00 – $70.00 per hour

Schedule: Evening shift | Mondays & Wednesdays | 6:00 PM – 9:00 PM EST

Location: Remote (Canada-wide)

About Montreal College of IT

Montreal College of Information Technology (MCIT) is a leader in career-focused IT education. We are launching an advanced diploma program in Agentic AI Systems Engineering designed for experienced industry professionals looking to design, orchestrate, and deploy autonomous AI systems in production.

The Audience You Will Lead

This is an advanced-level course. Our students are working technical professionals—including Software Engineers, Machine Learning Engineers, and Data Scientists—averaging 5-10+ years of industry experience.

You will not be lecturing beginners on basic syntax. You will be facilitating peer-level architectural discussions, guiding hands-on labs, and mentoring senior developers as they build production-grade agentic systems.

Key Responsibilities

- Live Instruction: Deliver engaging, live online evening sessions focusing on applied system design and live coding.
- Curriculum Execution: Guide students through single-agent loops, advanced RAG, tree-of-thought reasoning, multi-agent frameworks, guardrails, and observability.
- Code & Architecture Reviews: Critique student system designs, review pull requests, and debug complex asynchronous Python code on the fly.
- Capstone Mentorship: Provide technical direction as students architect end-to-end multi-agent capstone projects.

Core Qualifications





- Location & Eligibility: Must reside in Canada and be legally eligible to work.
- Industry Standing: Currently working as a Lead AI Engineer, Senior ML Engineer, AI Solutions Architect, or Principal Software Engineer with 5+ years of software/AI production experience.
- Hands-on Agentic AI Expertise: Proven experience building agent workflows using LangGraph, CrewAI, or AutoGen.
- Production RAG & Vector DBs: Deep working knowledge of embeddings, hybrid search, context management, and vector databases (Pinecone, Qdrant, Milvus, etc.).
- Observability & Guardrails: Practical experience implementing agent evaluation, tracing, and safety using tools like LangSmith, TruLens, Guardrails AI, or Arize Phoenix.
- Technical Communication: Ability to communicate complex architectural trade-offs to senior tech peers without relying on entry-level lectures.

Preferred Qualifications

- Prior experience in technical training, workshop facilitation, mentoring, or university teaching.
- Active open-source contributions to agentic AI toolkits or published technical content/talks.

Why Teach With Us?

- 100% Remote: Teach live online from anywhere in Canada.
- Predictable Part-Time Hours: 6 hours/week of live teaching (plus light preparation), designed to seamlessly fit alongside a full-time senior engineering job.
- High-Impact Networking: Establish yourself as a subject matter expert while connecting with seasoned technical leaders across the Canadian tech ecosystem.

Pay: $65.00-$70.00 per hour

Perks

- Casual dress
- Flexible schedule

Work Location: In person

📌 Instructor – Agentic AI Systems Engineering (Montreal)
🏢 Montreal College of Information Technology
📍 Montreal