Instructor - Advanced GenAI at Fullstack Academy Remote

Fullstack Academy; United States; Remote; USD 60,000 - 100,000; Full time

Job summary

Simplilearn seeks an Online Trainer – Advanced Generative AI to deliver live online sessions for adult learners enrolled in advanced Generative AI programmes.

You will cover LLMs, prompt engineering, RAG, AI APIs, and multimodal AI, with hands-on demonstrations and real-world business applications. Classes are 100% online in instructor-led format.

Qualifications

• Hands-on experience building or implementing LLM-powered applications.
• Experience with RAG pipelines and AI-powered solutions.
• Familiar with prompt engineering workflows and multimodal AI applications.

Responsibilities

• Deliver live online instructor-led training sessions on Generative AI topics.
• Cover advanced AI topics: LLMs, architectures, foundation models, and prompting techniques.
• Prepare trainings, materials, exercises, and demonstrations for learners.
• Conduct Q&A, knowledge checks, and guided hands-on practice.
• Demonstrate real-world business use cases and AI applications.

Skills

Generative AI

LLM knowledge

Prompt engineering

RAG pipelines

Multimodal AI

AI tooling

Tools

LLM Platforms

RAG Pipelines

Vector Databases

Prompt Engineering Tools

Job description

About Us

Simplilearn is the world’s #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialised 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, artificial intelligence, cybersecurity, product management, and more—skills 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 2,000 corporate training organisations across 150 countries have harnessed our award‑winning programmes to achieve their career and business goals. Simplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with top US universities to grow internationally.

Position Overview

The Online Trainer – Advanced Generative AI plays a key role in delivering engaging and impactful learning experiences to adult learners enrolled in our advanced Generative AI programmes. The trainer will facilitate live online training sessions covering Generative AI, Large Language Models, Prompt Engineering, RAG, LLM Applications, AI APIs, Multimodal AI, AI‑powered automation, and emerging Generative AI technologies. This role involves explaining advanced Generative AI concepts, demonstrating practical applications of LLMs and AI tools, conducting hands‑on demonstrations using modern GenAI platforms and frameworks, and connecting technical concepts with real‑world business applications. The ideal candidate should have strong hands‑on experience building or implementing LLM‑powered applications, RAG pipelines, AI‑powered solutions, prompt engineering workflows, multimodal AI applications, AI automation solutions, and enterprise Generative AI use cases. Classes are delivered 100% online in a synchronous, instructor‑led format.

Key Responsibilities

Deliver live online instructor‑led training sessions covering Advanced Generative AI, Large Language Models, Prompt Engineering, RAG, AI APIs, LLM applications, and AI‑powered automation.

Cover advanced Generative AI topics including:

• Generative AI fundamentals and evolution
• Large Language Models and LLM architectures
• Foundation models and modern LLMs
• Prompt Engineering and advanced prompting techniques
• Structured prompting and prompt optimisation
• System prompts and instruction design
• Retrieval‑Augmented Generation (RAG)
• Embeddings and semantic search
• Vector databases and knowledge retrieval
• LLM context windows and context management
• Function calling and tool integration
• LLM APIs and application development
• LLM orchestration
• Fine‑tuning and model customisation
• Model evaluation and output quality
• Hallucination mitigation and factuality
• Multimodal Generative AI
• Text, image, audio, and video generation
• AI‑powered workflow automation
• Generative AI applications in enterprise environments
• AI coding assistants and developer productivity tools
• Responsible AI, security, privacy, bias, and governance
• Emerging Generative AI technologies and industry trends

Prepare and continuously update:

• Training presentations
• Learning materials
• Practical exercises
• Hands‑on activities
• Generative AI demonstrations
• Prompt Engineering exercises
• LLM application demonstrations
• RAG demonstrations
• Real‑world business case studies
• Templates and reference materials

Conduct interactive workshops, Q&A sessions, knowledge checks, guided practice, and hands‑on demonstrations.