Instructor – Agentic AI

Full Stack Academy

. Deliver live online instructor-led training in Agentic AI, Generative AI, Machine Learning, Deep Learning, NLP, and Large Language Models .

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in delivering live online training on Agentic AI, Generative AI, and Machine Learning, with a strong focus on learner engagement and real-world application of AI concepts. Proficient in designing and implementing LLM-powered applications and AI systems while fostering an inclusive learning environment.

Highest-signal resume keywords

Agentic AI Systems DesignGenerative AI ExpertiseOnline Instructor-Led TrainingLLM-Powered Application DevelopmentAI Architecture Understanding

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningNatural Language ProcessingPrompt EngineeringNeural NetworksTransformersAttention MechanismsText ClassificationGenerative ModelsResponsible AI

Soft Skills

Excellent CommunicationPresentation SkillsFacilitation SkillsInstructional AbilitiesLearner Engagement

Tools & Technologies

ZoomMicrosoft TeamsLangChainLangGraphCrewAIAutoGen

Industry Keywords

Artificial IntelligenceAgentic AILarge Language ModelsAI Automation WorkflowsMulti-Agent Systems

About the role

Key responsibilities & impact

Deliver live online instructor-led training in Agentic AI, Generative AI, Machine Learning, Deep Learning, NLP, and Large Language Models
Explain complex AI concepts and demonstrate agentic AI architectures, workflows, frameworks, and tools
Teach topics including AI agents, LLM applications, prompt engineering, RAG, tool/function calling, agent memory, planning, reasoning, multi-agent systems, automation, orchestration, neural networks, transformers, NLP, generative models, and responsible AI
Prepare and continuously update presentations, learning materials, practical exercises, hands-on activities, demonstrations, use cases, case studies, templates, and reference materials
Conduct interactive workshops, Q&A sessions, knowledge checks, guided practice, and hands-on demonstrations
Guide learners through real-world Agentic AI scenarios and business applications
Support learners in building LLM-powered applications and Agentic AI solutions
Provide individualized learner support during live sessions and scheduled office hours
Maintain communication regarding learner progress, 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
Stay current with Agentic AI, Generative AI, LLM technologies, frameworks, autonomous AI systems, and industry trends
Collaborate with curriculum and instructional teams to improve content, training quality, learner experience, and outcomes
Foster an inclusive, collaborative, and professional learning environment
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, Machine Learning, Generative AI, Agentic AI, or related domains
Strong hands-on experience designing, developing, implementing, or deploying Agentic AI systems and LLM-powered applications
Prior experience delivering online instructor-led training for professionals or adult learners
Demonstrated expertise across AI, Machine Learning, Deep Learning, NLP, Generative AI, and Agentic AI
Strong understanding of Agentic AI architectures, AI agents, LLM-powered applications, agentic workflows, automation, Large Language Models, Prompt Engineering, RAG, tool calling, function calling, AI agent memory and context management, planning, reasoning, task decomposition, multi-agent systems, LLM orchestration, Machine Learning, Deep Learning, Neural Networks, Attention Mechanisms, Transformers, NLP, text classification, BERT, GPT, GANs, VAEs, Diffusion Models, and responsible AI
Hands-on experience with Agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks
Strong understanding of AI APIs, LLM integration, and AI automation workflows
Excellent communication, presentation, and facilitation skills
Strong instructional and learner engagement abilities
Experience building or demonstrating LLM-powered applications and AI agent workflows
Experience conducting live virtual training using Zoom, Microsoft Teams, or similar platforms
Ability to conduct interactive, activity-driven learning experiences
Ability to connect Agentic 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
Flexibility for evening and weekend availability is preferred based on learner cohort schedules

Benefits

Comp & perks

Flexible part-time schedule of approximately 8–12 hours per week
Compensation for all hours worked in accordance with applicable federal, state, and local wage and hour laws
Live online work format
Evening and weekend scheduling flexibility based on learner cohort schedules