Job Description

Agentic AI Product Engineer Bootcamp (No-Code Track) Online Instructor

1 evening per week (Monday to Friday only)
Minimum commitment: 2 hours per week

About the Role

We are looking for an experienced AI Product or No-Code Professional to teach and mentor learners in our Agentic AI Product Engineer Bootcamp (No-Code Track).

In this role, you will deliver hands-on, project-based instruction to professionals transitioning into AI-driven product roles. You'll help learners design, orchestrate, and deploy AI-powered applications using no-code tools and real-world business use cases. This is a contract opportunity for someone passionate about applied AI, workflow automation, and mentoring future AI product builders.

Qualifications:

5+ years of experience in AI product design, automation, or no-code development Proficiency with tools such as Flowise, Voiceflow, Relevance AI, Zapier, Bubble, ChatGPT, and Claude Demonstrated ability to build agentic workflows and explain AI concepts to non-technical audiences Familiarity with prompt engineering and LLM fundamentals (context windows, RAG, etc.) Excellent communication and mentorship skills

Preferred:

Experience teaching bootcamps or corporate training programs Background in Product Management, UX Design, or AI Strategy Portfolio showcasing AI or no-code project implementations

Your Responsibilities:

Deliver weekly live online sessions and Q&A workshops (2 hours per week) Guide learners through no-code AI tools such as Flowise, Voiceflow, Relevance AI, Zapier, and Bubble Evaluate student projects and provide actionable feedback on design, workflow, and user experience Support capstone teams from idea to prototype to final presentation Keep curriculum materials up to date with the latest tool and platform updates Mentor students on career transition into AI Product Design and Automation roles

Why Join Us:

Teach in a cutting-edge AI and no-code program built for working professionals Flexible remote teaching schedule Collaborate with a supportive and innovative education team Help shape the next generation of AI product engineers and automation specialists

Job Type:

Part-Time - Contract - Remote

Job Type: Part-time

Expected hours: 2 per week

Work Location: Remote