{"schemaVersion":"jobsearcher.job.v1","id":"ec93d62076fd7fb9c80699d6","url":"https://jobsearcher.com/jobs/ec93d62076fd7fb9c80699d6","canonicalUrl":"https://jobsearcher.com/jobs/ec93d62076fd7fb9c80699d6","title":"Instructor - Agentic AI","description":"About Us\n\nSimplilearn 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, 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 organizations across 150 countries have harnessed our award-winning programs to achieve their career and business goals.\n\nSimplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with top US universities to grow internationally.\n\nPosition Overview\n\nThe Online Trainer – Agentic AI, Machine Learning & Generative AI plays a key role in delivering engaging and impactful learning experiences to adult learners enrolled in our advanced AI and Agentic AI programmes.\n\nThe trainer will facilitate live online training sessions covering Agentic AI, AI Agents, Generative AI, Large Language Models, Machine Learning, Deep Learning, NLP, and AI-powered automation.\n\nThis role involves explaining complex AI concepts, demonstrating agentic AI architectures and workflows, conducting hands-on demonstrations using modern AI frameworks and tools, and connecting technical concepts with real-world business applications.\n\nThe ideal candidate should have strong hands-on experience building or implementing AI agents, multi-agent systems, LLM-powered applications, RAG pipelines, tool-using agents, and AI automation workflows.\n\nClasses are delivered 100% online in a synchronous, instructor-led format.\n\nKey Responsibilities\n\nDeliver live online instructor-led training sessions covering Agentic AI, Generative AI, Machine Learning, Deep Learning, NLP, and Large Language Models.\n\nCover core Agentic AI and Generative AI topics including:\n\nAgentic AI fundamentals and evolution\nAI Agents and autonomous AI systems\nAgent architectures and agentic workflows\nLarge Language Models and LLM-powered applications\nPrompt Engineering and advanced prompting techniques\nRetrieval-Augmented Generation (RAG)\nTool calling and function calling\nAI agent memory and context management\nPlanning, reasoning, and task decomposition\nMulti-agent systems and agent collaboration\nAI workflow automation\nLLM orchestration\nMachine Learning and Deep Learning fundamentals\nNeural Networks, Attention Mechanisms, and Transformers\nNatural Language Processing and text classification\nBERT, GPT, GANs, VAEs, and Diffusion Models\nResponsible AI, security, bias, and ethical considerations\nEmerging trends in Agentic AI and autonomous AI systems\n\nPrepare and continuously update:\n\nTraining presentations\nLearning materials\nPractical exercises\nHands-on activities\nAgentic AI demonstrations\nAI agent use cases\nReal-world business case studies\nTemplates and reference materials\n\nConduct interactive workshops, Q&A sessions, quick knowledge checks, guided practice, and hands-on demonstrations.\n\nConduct practical demonstrations using modern AI frameworks, platforms, and tools such as:\n\nLangChain\nLangGraph\nCrewAI\nAutoGen\nChatGPT\nHugging Face\nAI APIs and LLM platforms\nRAG frameworks and vector databases\nWorkflow automation platforms\n\nGuide learners through real-world Agentic AI scenarios using practical business and industry examples.\n\nDemonstrate how AI agents can be designed to reason, plan, use tools, retrieve information, collaborate with other agents, and automate multi-step workflows.\n\nSupport learners in developing practical skills for building and implementing LLM-powered applications and Agentic AI solutions.\n\nMaintain high learner engagement and instructional quality throughout all sessions.\n\nStay updated with current Agentic AI practices, Generative AI developments, LLM technologies, AI frameworks, autonomous AI systems, and emerging industry trends.\n\nCollaborate with internal curriculum teams to continuously improve training content and learner outcomes.\n\nRequired Qualifications\nBachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, Engineering, or a related field.\n10+ years of professional experience in Artificial Intelligence, Machine Learning, Generative AI, Agentic AI, or related domains.\nStrong hands-on experience designing, developing, implementing, or deploying Agentic AI systems and LLM-powered applications.\nPrior experience delivering online instructor-led training for professionals or adult learners.\nDemonstrated expertise across AI, Machine Learning, Deep Learning, NLP, Generative AI, and Agentic AI.\nStrong understanding of:\nAgentic AI architectures and AI agents\nLLM-powered applications\nAgentic workflows and automation\nLarge Language Models\nPrompt Engineering\nRetrieval-Augmented Generation (RAG)\nTool calling and function calling\nAI agent memory and context management\nPlanning, reasoning, and task decomposition\nMulti-agent systems\nLLM orchestration\nMachine Learning and Deep Learning\nNeural Networks, Attention Mechanisms, and Transformers\nNLP and text classification\nBERT, GPT, GANs, VAEs, and Diffusion Models\nResponsible AI, security, bias, and ethical AI\nHands-on experience with Agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.\nStrong understanding of AI APIs, LLM integration, and AI automation workflows.\nExcellent communication, presentation, and facilitation skills.\n\nRequired Skills\nStrong hands-on expertise in Agentic AI and AI Agent development.\nStrong instructional and learner engagement abilities.\nAbility to simplify complex Agentic AI, AI/ML, and Generative AI concepts through practical examples and demonstrations.\nExperience building or demonstrating LLM-powered applications and AI agent workflows.\nExperience with frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar Agentic AI frameworks.\nStrong understanding of RAG architectures, tool calling, function calling, and LLM orchestration.\nAbility to explain AI agent architectures, planning, reasoning, memory, and multi-agent collaboration.\nStrong understanding of Artificial Intelligence, Machine Learning, Deep Learning, NLP, and Generative AI.\nExcellent communication and storytelling skills.\nExperience conducting live virtual training using Zoom, Microsoft Teams, or similar platforms.\nStrong learner engagement, facilitation, and Q&A management skills.\nAbility to conduct interactive, activity-driven learning experiences.\nAbility to connect Agentic AI concepts with real-world business use cases.\n\nPreferred Skills\nExperience training professionals, working professionals, or adult learners in Agentic AI, AI/ML, or Generative AI.\nExperience creating Agentic AI training content, exercises, demonstrations, or case studies.\nHands-on experience developing production-grade AI agents or agentic applications.\nExperience with multi-agent frameworks such as CrewAI, AutoGen, LangGraph, or similar technologies.\nExperience implementing RAG pipelines, vector databases, embeddings, and knowledge retrieval systems.\nExperience integrating LLMs with external APIs, databases, tools, and enterprise systems.\nExposure to AI workflow automation and orchestration platforms.\nExperience with Python and AI development environments.\nFamiliarity with emerging Agentic AI architectures, autonomous AI systems, and AI coding agents.\nExperience demonstrating AI agent use cases across different business functions.\nStrong understanding of responsible AI, AI ethics, security, bias, and governance.\n\nKey Competencies\nStrong instructional and facilitation skills.\nExcellent Agentic AI, Generative AI, Machine Learning, and AI expertise.\nStrong hands-on understanding of AI agents and agentic architectures.\nAbility to explain complex technical concepts clearly using practical examples.\nStrong understanding of LLMs, RAG, tool calling, agent memory, planning, and multi-agent systems.\nProfessional virtual presence.\nAnalytical thinking and structured problem-solving.\nStrong learner engagement and mentoring mindset.\nExcellent communication and presentation abilities.\nAbility to demonstrate practical and business-focused Agentic AI applications.\nPassion for developing AI capabilities among professionals and learners.\n\nStudent Support & Mentorship\n\nProvide individualized learner support during live training sessions and scheduled office hours.\n\nMaintain regular communication regarding learner progress, training expectations, and skill development.\n\nRespond promptly and professionally to learner and internal team communications.\n\nProvide timely, constructive feedback on practical exercises, activities, and learning assessments.\n\nSupport learners in applying Agentic AI, Generative AI, Machine Learning, and LLM concepts to practical business scenarios.\n\nHelp learners design and experiment with AI agents, agentic workflows, RAG applications, and AI-powered automation through guided practice and hands-on demonstrations.\n\nPerformance Monitoring\n\nEvaluate learner progress based on participation, knowledge checks, practical exercises, and hands-on activities.\n\nMaintain accurate records of learner engagement and performance.\n\nIdentify learners requiring additional support and collaborate with internal teams to improve learning outcomes.\n\nContribute to continuous improvement initiatives for training quality and learner success.\n\nCollaboration & Professional Conduct\n\nAdhere to institutional policies and instructional standards.\n\nFoster an inclusive, collaborative, and professional learning environment.\n\nServe as a mentor and industry role model for learners developing their Agentic AI and Generative AI skills.\n\nCollaborate with instructional staff and curriculum teams to enhance learner experience and training effectiveness.\n\nRepresent Simplilearn professionally when interacting with learners, staff, and external stakeholders.\n\nWork Schedule\n\nPart-Time instructors typically work 8–12 hours per week, depending on training schedules.\n\nEach training session is approximately 3 hours in duration.\n\nSessions are delivered live in a fully online format.\n\nFlexibility for evening and weekend availability is preferred based on learner cohort schedules.\n\nCompensation\n\nThe anticipated compensation for this position is $80 per hour, depending on qualifications, experience, and alignment with programme requirements.\n\nCandidates with exceptional Agentic AI expertise, strong hands-on AI agent development experience, extensive industry experience, or strong instructional experience are encouraged to apply.\n\nThis position is classified as Part-Time, Non-Exempt, and employees will be compensated for all hours worked in accordance with applicable federal, state, and local wage and hour laws.\n\nEqual Employment Opportunity\n\nWe 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.\n\nWork Authorization\n\nApplicants must be legally authorised to work in the United States at the time of application and throughout employment.\n\n#LI-REMOTE","company":"Fullstackacademy","rawCompany":"fullstackacademy","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-22T14:03:50.459Z","occupations":[{"code":"13-1151.00","title":"Training and Development Specialists","slug":"training-and-development-specialists"},{"code":"25-3099.00","title":"Teachers and Instructors, All Other","slug":"teachers-and-instructors-all-other"},{"code":"25-3021.00","title":"Self-Enrichment Teachers","slug":"self-enrichment-teachers"}],"industries":[{"code":"611430","title":"Professional and Management Development Training","slug":"professional-and-management-development-training"},{"code":"611420","title":"Computer Training","slug":"computer-training"},{"code":"611699","title":"All Other Miscellaneous Schools and Instruction","slug":"all-other-miscellaneous-schools-and-instruction"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Instructor - Agentic AI","description":"About Us\n\nSimplilearn 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, 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 organizations across 150 countries have harnessed our award-winning programs to achieve their career and business goals.\n\nSimplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with top US universities to grow internationally.\n\nPosition Overview\n\nThe Online Trainer – Agentic AI, Machine Learning & Generative AI plays a key role in delivering engaging and impactful learning experiences to adult learners enrolled in our advanced AI and Agentic AI programmes.\n\nThe trainer will facilitate live online training sessions covering Agentic AI, AI Agents, Generative AI, Large Language Models, Machine Learning, Deep Learning, NLP, and AI-powered automation.\n\nThis role involves explaining complex AI concepts, demonstrating agentic AI architectures and workflows, conducting hands-on demonstrations using modern AI frameworks and tools, and connecting technical concepts with real-world business applications.\n\nThe ideal candidate should have strong hands-on experience building or implementing AI agents, multi-agent systems, LLM-powered applications, RAG pipelines, tool-using agents, and AI automation workflows.\n\nClasses are delivered 100% online in a synchronous, instructor-led format.\n\nKey Responsibilities\n\nDeliver live online instructor-led training sessions covering Agentic AI, Generative AI, Machine Learning, Deep Learning, NLP, and Large Language Models.\n\nCover core Agentic AI and Generative AI topics including:\n\nAgentic AI fundamentals and evolution\nAI Agents and autonomous AI systems\nAgent architectures and agentic workflows\nLarge Language Models and LLM-powered applications\nPrompt Engineering and advanced prompting techniques\nRetrieval-Augmented Generation (RAG)\nTool calling and function calling\nAI agent memory and context management\nPlanning, reasoning, and task decomposition\nMulti-agent systems and agent collaboration\nAI workflow automation\nLLM orchestration\nMachine Learning and Deep Learning fundamentals\nNeural Networks, Attention Mechanisms, and Transformers\nNatural Language Processing and text classification\nBERT, GPT, GANs, VAEs, and Diffusion Models\nResponsible AI, security, bias, and ethical considerations\nEmerging trends in Agentic AI and autonomous AI systems\n\nPrepare and continuously update:\n\nTraining presentations\nLearning materials\nPractical exercises\nHands-on activities\nAgentic AI demonstrations\nAI agent use cases\nReal-world business case studies\nTemplates and reference materials\n\nConduct interactive workshops, Q&A sessions, quick knowledge checks, guided practice, and hands-on demonstrations.\n\nConduct practical demonstrations using modern AI frameworks, platforms, and tools such as:\n\nLangChain\nLangGraph\nCrewAI\nAutoGen\nChatGPT\nHugging Face\nAI APIs and LLM platforms\nRAG frameworks and vector databases\nWorkflow automation platforms\n\nGuide learners through real-world Agentic AI scenarios using practical business and industry examples.\n\nDemonstrate how AI agents can be designed to reason, plan, use tools, retrieve information, collaborate with other agents, and automate multi-step workflows.\n\nSupport learners in developing practical skills for building and implementing LLM-powered applications and Agentic AI solutions.\n\nMaintain high learner engagement and instructional quality throughout all sessions.\n\nStay updated with current Agentic AI practices, Generative AI developments, LLM technologies, AI frameworks, autonomous AI systems, and emerging industry trends.\n\nCollaborate with internal curriculum teams to continuously improve training content and learner outcomes.\n\nRequired Qualifications\nBachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, Engineering, or a related field.\n10+ years of professional experience in Artificial Intelligence, Machine Learning, Generative AI, Agentic AI, or related domains.\nStrong hands-on experience designing, developing, implementing, or deploying Agentic AI systems and LLM-powered applications.\nPrior experience delivering online instructor-led training for professionals or adult learners.\nDemonstrated expertise across AI, Machine Learning, Deep Learning, NLP, Generative AI, and Agentic AI.\nStrong understanding of:\nAgentic AI architectures and AI agents\nLLM-powered applications\nAgentic workflows and automation\nLarge Language Models\nPrompt Engineering\nRetrieval-Augmented Generation (RAG)\nTool calling and function calling\nAI agent memory and context management\nPlanning, reasoning, and task decomposition\nMulti-agent systems\nLLM orchestration\nMachine Learning and Deep Learning\nNeural Networks, Attention Mechanisms, and Transformers\nNLP and text classification\nBERT, GPT, GANs, VAEs, and Diffusion Models\nResponsible AI, security, bias, and ethical AI\nHands-on experience with Agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.\nStrong understanding of AI APIs, LLM integration, and AI automation workflows.\nExcellent communication, presentation, and facilitation skills.\n\nRequired Skills\nStrong hands-on expertise in Agentic AI and AI Agent development.\nStrong instructional and learner engagement abilities.\nAbility to simplify complex Agentic AI, AI/ML, and Generative AI concepts through practical examples and demonstrations.\nExperience building or demonstrating LLM-powered applications and AI agent workflows.\nExperience with frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar Agentic AI frameworks.\nStrong understanding of RAG architectures, tool calling, function calling, and LLM orchestration.\nAbility to explain AI agent architectures, planning, reasoning, memory, and multi-agent collaboration.\nStrong understanding of Artificial Intelligence, Machine Learning, Deep Learning, NLP, and Generative AI.\nExcellent communication and storytelling skills.\nExperience conducting live virtual training using Zoom, Microsoft Teams, or similar platforms.\nStrong learner engagement, facilitation, and Q&A management skills.\nAbility to conduct interactive, activity-driven learning experiences.\nAbility to connect Agentic AI concepts with real-world business use cases.\n\nPreferred Skills\nExperience training professionals, working professionals, or adult learners in Agentic AI, AI/ML, or Generative AI.\nExperience creating Agentic AI training content, exercises, demonstrations, or case studies.\nHands-on experience developing production-grade AI agents or agentic applications.\nExperience with multi-agent frameworks such as CrewAI, AutoGen, LangGraph, or similar technologies.\nExperience implementing RAG pipelines, vector databases, embeddings, and knowledge retrieval systems.\nExperience integrating LLMs with external APIs, databases, tools, and enterprise systems.\nExposure to AI workflow automation and orchestration platforms.\nExperience with Python and AI development environments.\nFamiliarity with emerging Agentic AI architectures, autonomous AI systems, and AI coding agents.\nExperience demonstrating AI agent use cases across different business functions.\nStrong understanding of responsible AI, AI ethics, security, bias, and governance.\n\nKey Competencies\nStrong instructional and facilitation skills.\nExcellent Agentic AI, Generative AI, Machine Learning, and AI expertise.\nStrong hands-on understanding of AI agents and agentic architectures.\nAbility to explain complex technical concepts clearly using practical examples.\nStrong understanding of LLMs, RAG, tool calling, agent memory, planning, and multi-agent systems.\nProfessional virtual presence.\nAnalytical thinking and structured problem-solving.\nStrong learner engagement and mentoring mindset.\nExcellent communication and presentation abilities.\nAbility to demonstrate practical and business-focused Agentic AI applications.\nPassion for developing AI capabilities among professionals and learners.\n\nStudent Support & Mentorship\n\nProvide individualized learner support during live training sessions and scheduled office hours.\n\nMaintain regular communication regarding learner progress, training expectations, and skill development.\n\nRespond promptly and professionally to learner and internal team communications.\n\nProvide timely, constructive feedback on practical exercises, activities, and learning assessments.\n\nSupport learners in applying Agentic AI, Generative AI, Machine Learning, and LLM concepts to practical business scenarios.\n\nHelp learners design and experiment with AI agents, agentic workflows, RAG applications, and AI-powered automation through guided practice and hands-on demonstrations.\n\nPerformance Monitoring\n\nEvaluate learner progress based on participation, knowledge checks, practical exercises, and hands-on activities.\n\nMaintain accurate records of learner engagement and performance.\n\nIdentify learners requiring additional support and collaborate with internal teams to improve learning outcomes.\n\nContribute to continuous improvement initiatives for training quality and learner success.\n\nCollaboration & Professional Conduct\n\nAdhere to institutional policies and instructional standards.\n\nFoster an inclusive, collaborative, and professional learning environment.\n\nServe as a mentor and industry role model for learners developing their Agentic AI and Generative AI skills.\n\nCollaborate with instructional staff and curriculum teams to enhance learner experience and training effectiveness.\n\nRepresent Simplilearn professionally when interacting with learners, staff, and external stakeholders.\n\nWork Schedule\n\nPart-Time instructors typically work 8–12 hours per week, depending on training schedules.\n\nEach training session is approximately 3 hours in duration.\n\nSessions are delivered live in a fully online format.\n\nFlexibility for evening and weekend availability is preferred based on learner cohort schedules.\n\nCompensation\n\nThe anticipated compensation for this position is $80 per hour, depending on qualifications, experience, and alignment with programme requirements.\n\nCandidates with exceptional Agentic AI expertise, strong hands-on AI agent development experience, extensive industry experience, or strong instructional experience are encouraged to apply.\n\nThis position is classified as Part-Time, Non-Exempt, and employees will be compensated for all hours worked in accordance with applicable federal, state, and local wage and hour laws.\n\nEqual Employment Opportunity\n\nWe 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.\n\nWork Authorization\n\nApplicants must be legally authorised to work in the United States at the time of application and throughout employment.\n\n#LI-REMOTE","datePosted":"2026-08-22T14:03:50.459Z","dateModified":"2026-08-22T14:03:50.459Z","hiringOrganization":{"@type":"Organization","name":"Fullstackacademy","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ec93d62076fd7fb9c80699d6"},"url":"https://jobsearcher.com/jobs/ec93d62076fd7fb9c80699d6"}}