Instructor – Advanced GenAI

Full Stack Academy

. Deliver live online instructor-led training on Advanced Generative AI, LLMs, Prompt Engineering, RAG, AI APIs, LLM applications, and AI-powered automation .

Posted 9/30/2026part-timeRemote • United StatesSeniorLead💰 $80 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Generative AI, Large Language Models, and AI automation, with a strong ability to deliver engaging online training and practical applications. Proficient in designing and implementing LLM-powered solutions while fostering an inclusive learning environment.

Highest-signal resume keywords

Generative AI ExpertiseLarge Language Model DevelopmentOnline Instructor-Led TrainingAI Automation WorkflowsHands-On Demonstrations

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Generative AILarge Language ModelsPrompt EngineeringRAGAI APIsLLM Application DevelopmentFine-TuningModel EvaluationSemantic SearchKnowledge Retrieval

Soft Skills

Excellent CommunicationPresentation SkillsFacilitation SkillsStorytelling SkillsLearner Engagement

Tools & Technologies

OpenAIClaudeGeminiHugging FaceLangChainLangGraphLlamaIndexZoomMicrosoft Teams

Industry Keywords

Artificial IntelligenceMachine LearningData ScienceSoftware EngineeringEnterprise Applications

About the role

Key responsibilities & impact

Deliver live online instructor-led training on Advanced Generative AI, LLMs, Prompt Engineering, RAG, AI APIs, LLM applications, and AI-powered automation
Explain advanced Generative AI concepts and demonstrate practical applications of LLMs and AI tools
Conduct hands-on demonstrations using modern GenAI platforms, frameworks, and tools
Teach Generative AI fundamentals, LLM architectures, foundation models, prompting, RAG, embeddings, vector databases, context management, function calling, APIs, orchestration, fine-tuning, evaluation, multimodal AI, automation, enterprise applications, and responsible AI
Prepare and continuously update presentations, learning materials, practical exercises, hands-on activities, demonstrations, case studies, templates, and reference materials
Conduct interactive workshops, Q&A sessions, knowledge checks, guided practice, and hands-on demonstrations
Guide learners through practical business and industry Generative AI scenarios
Demonstrate generation, analysis, transformation, summarisation, and interaction with text, documents, images, audio, video, code, and enterprise data
Demonstrate integration of LLM applications with external data sources, APIs, databases, enterprise systems, and business workflows
Support learners in designing, building, evaluating, and implementing Generative AI solutions
Maintain learner engagement and instructional quality throughout sessions
Stay current with Generative AI developments, foundation models, LLM technologies, AI tools, frameworks, multimodal capabilities, and industry trends
Collaborate with curriculum and instructional teams to improve training content and learner outcomes
Provide individualised learner support during live sessions and scheduled office hours
Communicate learner progress, training expectations, and skill development
Provide timely, constructive feedback on exercises, activities, and assessments
Evaluate learner progress using participation, knowledge checks, practical exercises, and hands-on activities
Maintain accurate learner engagement and performance records
Identify learners needing additional support and collaborate with internal teams to improve outcomes
Foster an inclusive, collaborative, and professional learning environment
Serve as a mentor and industry role model
Represent Simplilearn professionally with learners, staff, and external stakeholders

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, Engineering, or a related field
10+ years of professional experience in Artificial Intelligence, Generative AI, Machine Learning, Data Science, Software Engineering, or related domains
Strong hands-on experience designing, developing, implementing, or deploying Generative AI and LLM-powered applications
Prior experience delivering online instructor-led training for professionals or adult learners
Demonstrated expertise in Generative AI, Large Language Models, Prompt Engineering, RAG, AI APIs, and LLM application development
Strong understanding of Generative AI, foundation models, LLM architectures, prompt engineering, advanced prompting, RAG, embeddings, vector databases, semantic search, knowledge retrieval, function calling, tool integration, LLM APIs, orchestration, context management, fine-tuning, model evaluation, hallucination mitigation, multimodal AI, AI automation, and responsible AI
Hands-on experience with OpenAI, Claude, Gemini, Hugging Face, LangChain, LangGraph, LlamaIndex, or similar technologies
Strong understanding of AI APIs, LLM integration, and enterprise Generative AI applications
Excellent communication, presentation, facilitation, and storytelling skills
Ability to simplify complex Generative AI and LLM concepts through practical examples and demonstrations
Experience building or demonstrating LLM-powered applications, RAG solutions, AI automation workflows, or Generative AI solutions
Experience conducting live virtual training using Zoom, Microsoft Teams, or similar platforms
Strong learner engagement, facilitation, Q&A management, and interactive learning abilities
Ability to connect Generative AI concepts with real-world business use cases
Applicants must be legally authorised to work in the United States at the time of application and throughout employment
Evening and weekend availability is preferred based on learner cohort schedules

Benefits

Comp & perks

$80 per hour compensation
Part-time, non-exempt employment with compensation for all hours worked in accordance with applicable federal, state, and local wage and hour laws
Fully online work format
Flexible scheduling based on training schedules
Live virtual teaching environment
Office hours and learner mentorship opportunities