Agentic AI Bootcamp Instructor (LLMs, RAG, Agents & AgentOps)

Explicitly references "vibe coding" and AI-assisted development as part of the curriculum.

About the Role

WeCloudData seeks an experienced Agentic AI Instructor to deliver a 6-week, full-time immersive bootcamp teaching LLM fundamentals, RAG, single- and multi-agent systems, AgentOps, and production deployment. The role is in-person and requires travel to Saudi Arabia for an initial 2-month engagement with possible extension.

Role

WeCloudData is hiring an Agentic AI Instructor to teach a 6-week, full-time immersive bootcamp focused on building production-ready agentic AI systems. The instructor will lead an end-to-end, capstone-driven curriculum covering LLM fundamentals, prompting, RAG, single- and multi-agent systems, AgentOps, observability, cost control, and deployment patterns.

Key Responsibilities

- Deliver live instruction for a full-time, 6-week bootcamp
- Lead hands-on labs, code walkthroughs, and weekly project sprints
- Mentor students through weekly mini-projects and a final capstone
- Review agentic AI codebases and provide clear, actionable feedback
- Teach design, debugging, evaluation, and safety practices for agentic systems
- Guide learners on agent reliability, safety, guardrails, and cost tradeoffs
- Contribute to curriculum development and continuous improvement
- Collaborate with program staff on learner progress and outcomes

Requirements

- Strong hands-on experience with agentic AI systems and Large Language Models (LLMs)
- Practical knowledge of Retrieval-Augmented Generation (RAG), tool-calling agents, reasoning loops, multi-agent architectures, and memory
- Experience with Python-based AI development




- Familiarity with vector databases and embeddings
- Understanding of AgentOps / LLMOps concepts (evaluation, monitoring, cost control)
- Excellent communication skills and proven ability to explain complex ideas clearly
- Bootcamp teaching experience or equivalent (intensive training, workshops, mentoring)
- Content development experience (curriculum, labs, assignments, or technical materials)
- Ability to mentor learners through end-to-end capstone projects

Preferred Qualifications

- Experience teaching AI agents or autonomous systems
- Familiarity with LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks
- Experience reviewing or refactoring AI-generated code
- Prior experience teaching in accelerated or immersive programs
- Experience with enterprise, government, or international cohorts

Location & Commitment

- In-person role; instructors must be available to travel to Saudi Arabia for an initial 2-month engagement
- Possibility of extension to 9–12 months or longer based on program needs
- Full-time teaching commitment during bootcamp delivery

Job Type

- Full time, Contract

How to Apply

Submit your resume or LinkedIn profile, a link to your GitHub profile, and a brief note describing your teaching experience and availability (remote or in-person).

Python Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) vector databases embeddings LangGraph AutoGen LangChain CrewAI AgentOps LLMOps GitHub

Skills

Teaching / Instruction Mentoring Curriculum Development Communication Code Review Debugging Evaluation & Monitoring Safety & Reliability Assessment Deployment & Productionization Capstone / Project Mentoring

Experience Level

Senior

Employment Type

Full-time Contract

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📌 Agentic AI Bootcamp Instructor (LLMs, RAG, Agents & AgentOps) (Toronto)
🏢 Vibehackers
📍 Toronto