Vibe Coding Instructor

About Inference.ai Academy

As AI rapidly reshapes the job market, traditional software roles are shrinking while demand for applied AI talent is exploding—yet most courses fail to produce job-ready engineers.

Inference.ai Academy bridges that gap by training learners through hands-on, production-level AI work. Students build real systems, including LLM pipelines, RAG architectures, AI agents, fine-tuning workflows, and multimodal AI applications used in modern AI companies.

We are building the next generation of AI engineers- not through theory-heavy lectures, but through practical execution, mentorship, and rapid iteration.

Role Overview

We are seeking a Vibe Coding Instructor who can teach students how to build real AI products fast using modern AI-native development workflows. This role is ideal for engineers, builders, creators, or technical educators who thrive in hands-on environments and enjoy helping others ship AI applications quickly.

You’ll guide students through project-based learning experiences using tools such as Cursor, Claude, ChatGPT, LangChain, OpenAI APIs, vector databases, MCP workflows, and modern full-stack AI stacks.

The ideal candidate combines:

Strong practical AI engineering skills

Excellent communication and mentorship ability

A builder mindset focused on rapid experimentation and shipping

Comfort teaching globally distributed learners

Multilingual (Mandarin) candidates are strongly preferred

What You’ll Teach

Students will learn how to:

Build AI apps using “vibe coding” workflows and AI copilots

Create production-ready RAG pipelines

Develop AI agents and automation systems

Integrate APIs, vector databases, and memory systems

Fine-tune and evaluate LLMs

Build multimodal AI applications

Deploy and iterate on real AI products quickly

Use AI-assisted development tools for rapid product execution

Responsibilities

Lead live workshops, cohorts, and hands-on coding sessions

Mentor learners building real AI applications

Break down complex AI engineering concepts into practical workflows

Review student projects and provide actionable feedback

Create engaging technical content, demos, and exercises

Stay current with the fast-moving AI tooling ecosystem

Foster an energetic, builder-focused learning environment\

Support students across multiple time zones and backgrounds

Requirements

Experience building AI-powered applications using modern LLM stacks

Strong familiarity with tools like OpenAI APIs, LangChain/LlamaIndex, vector DBs, and agent frameworks

Practical experience with rapid prototyping and AI-assisted coding workflows

Ability to teach clearly and communicate technical ideas effectively

Comfortable presenting live and mentoring students

Strong product intuition and startup-style execution mindset

Experience with JavaScript/TypeScript or Python

Passion for helping others become AI-native builders

Nice to Haves

Multilingual communication skills

Experience teaching online cohorts or bootcamps

Experience deploying production AI systems

Familiarity with Cursor, Windsurf, Replit, Bolt, or similar AI coding environments

Background in developer education, content creation, or community building

Experience with fine-tuning, evaluation pipelines, or multimodal AI

Why Join Us?

Help shape the future workforce of AI engineers

Work with cutting-edge AI tools and workflows daily

Teach practical skills that directly impact careers

Flexible remote work environment

Opportunity to build curriculum, community, and global impact

Collaborate with ambitious builders and AI innovators