At a Glance
- Tasks: Teach a 6-week immersive bootcamp on agentic AI systems and LLM fundamentals.
- Company: WeCloudData, a leader in AI education with a focus on innovation.
- Benefits: Competitive salary, travel opportunities, and hands-on teaching experience.
- Other info: In-person role with potential travel to Saudi Arabia and excellent career growth.
- Why this job: Shape the future of AI while mentoring passionate learners in an exciting environment.
- Qualifications: Strong experience with agentic AI, LLMs, and Python; teaching experience preferred.
The predicted salary is between 90000 - 110000 $ per year.
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.
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 9β12 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).
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