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) (Ontario)
🏢 Vibehackers
📍 Ontario