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 #J-18808-Ljbffr

📌 Agentic Ai Bootcamp Instructor (Toronto)
🏢 Equinox Group
📍 Toronto