Instructor, Agentic AI, Simplilearn (Part time)

About the role

About: Simplilearn

Simplilearn is the world’s #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialized training offered in partnership with world-renowned universities and leading corporations. We focus on emerging technologies and skills, such as data science, cloud computing, programming, and more — that are transforming the global economy. Our training is hands-on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment. Over two million professionals and 2000 corporate training organizations across 150 countries have harnessed our award-winning programs to achieve their career and business goals.

Simplilearn has collaborated with Full stack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally

Position Overview

The Part-Time Instructor for Artificial Intelligence and Machine Learning (AIML) plays a key role in delivering engaging and impactful learning experiences to adult learners enrolled in our online programs.

Instructors facilitate curriculum content, support student learning, and connect technical concepts to real-world industry applications. This role involves teaching live online sessions, mentoring students, providing feedback, and contributing to a collaborative instructional environment.

Classes are delivered 100% online in a synchronous format.

Job Summary

We are seeking experienced Agentic AI Trainers to deliver live online training sessions covering modern generative models, LLMs, LangChain, RAG, and prompt engineering with hands-on demos and projects.

Key Responsibilities

Deliver live, instructor-led online classes

Conduct hands-on demos, guided practices, and projects

Explain concepts using real-world use cases

Address learner queries and ensure engagement

Required Skills & Expertise

Generative AI & Foundation Models

Generative AI model types and applications

VAEs and GANs (architecture, use cases, limitations)

Transformer-based models and attention mechanisms

Self-attention and multi-head attention

Language Models & LLMs

Language models fundamentals and applications

Large Language Models (architecture, training, operations, types)

Retrieval-Augmented Generation (RAG)

RAG concepts, components, retrievers, and workflows

Real-world applications of RAG

LangChain

LangChain architecture and core components

Building applications using LangChain

Prompt, memory, chains, and model integration

Text generation pipelines with Hugging Face models

Prompt Engineering

Prompt fundamentals and optimization

Zero-shot, few-shot, CoT, Self-Consistency, ToT prompting

Prompt templates and LangChain prompts

Prompt engineering applications (data & synthetic data generation)

Model I/O & Data Handling

Model I/O (prompts, LLMs, output parsers)

Document loaders (CSV, PDF, HTML, JSON, Markdown)

Text splitters and embeddings in GenAI

Qualifications

8+ years of experience in Agentic Ai / Generative AI / NLP / LLMs

Strong proficiency in Python, LLM frameworks, and LangChain

Prior online or classroom training experience

Requirements

Work Schedule

Part-Time instructors typically work 8–10 hours per week depending on cohort schedules.

Current AIML cohorts meet during evening hours:

Weekends- Saturday and Sunday

Sessions typically run 10:00 AM to 2 PM EST

Benefits

Compensation

The anticipated pay range for this position is $60- per hour, depending on qualifications and experience.

This position is classified as Part-Time, Non-Exempt, and employees will be compensated for all hours worked in accordance with applicable federal and state wage and hour laws.

Equal Employment Opportunity

We are committed to creating an inclusive environment for all employees and applicants. Employment decisions are made without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Work Authorization

Applicants must be legally authorized to work in the United States at the time of application and throughout employment.

Posting text as published by Fullstack Academy.

The evidence behind this listing

Workplace

Remote Employer field

Seniority

Not established

Employment type

part time

Location as listed

United States

Technology

pythonllm frameworkslangchainhugging face models

Pay and work authorization

Stated pay

$60/hr AI reading of the posting

Visa sponsorship

Not stated

Security clearance

Not required

Citizenship

Required