Agentic AI Bootcamp Instructor; LLMs, RAG, Agents & AgentOps

Agentic AI Bootcamp Instructor (LLMs, RAG, Agents & Agent Ops)

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

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

We Cloud Data  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, Agent Ops, observability, cost control, and deployment patterns.

• 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

• 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 Agent Ops / 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

• Experience teaching AI agents or autonomous systems
• Familiarity with Lang Chain, Lang Graph, CrewAI, Auto Gen, 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

• 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

• Full-time, Contract

Submit your resume or Linked In profile, a link to your Git Hub 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 Lang Graph Auto Gen Lang Chain CrewAI Agent Ops LLMOps Git Hub

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

Senior

Full-time Contract