Agentic AI Bootcamp Instructor (LLMs, RAG, Agents & AgentOps)Explicitly references "vibe coding" and AI-assisted development as part of the curriculum.About the RoleWeCloudData 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.RoleWeCloudData 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 ResponsibilitiesDeliver live instruction for a full-time, 6-week bootcampLead hands-on labs, code walkthroughs, and weekly project sprintsMentor students through weekly mini-projects and a final capstoneReview agentic AI codebases and provide clear, actionable feedbackTeach design, debugging, evaluation, and safety practices for agentic systemsGuide learners on agent reliability, safety, guardrails, and cost tradeoffsContribute to curriculum development and continuous improvementCollaborate with program staff on learner progress and outcomesRequirementsStrong 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 memoryExperience with Python-based AI developmentFamiliarity with vector databases and embeddingsUnderstanding of AgentOps / LLMOps concepts (evaluation, monitoring, cost control)Excellent communication skills and proven ability to explain complex ideas clearlyBootcamp 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 projectsPreferred QualificationsExperience teaching AI agents or autonomous systemsFamiliarity with LangChain, LangGraph, CrewAI, AutoGen, or similar frameworksExperience reviewing or refactoring AI-generated codePrior experience teaching in accelerated or immersive programsExperience with enterprise, government, or international cohortsLocation & CommitmentIn-person role; instructors must be available to travel to Saudi Arabia for an initial 2-month engagementPossibility of extension to 9–12 months or longer based on program needsFull-time teaching commitment during bootcamp deliveryJob TypeFull-time, ContractHow to ApplySubmit 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 GitHubSkillsTeaching / Instruction Mentoring Curriculum Development Communication Code Review Debugging Evaluation & Monitoring Safety & Reliability Assessment Deployment & Productionization Capstone / Project MentoringExperience LevelSeniorEmployment TypeFull-time Contract#J-18808-Ljbffr

📌 Agentic Ai Bootcamp Instructor (Toronto)
🏢 Vibehackers
📍 Toronto