Instructor - Agentic AI
$80/hr
Expert
Bachelor's, Master's
Remote in USA
Remote
TrainingCorporate & Technical Training
No H1B Sponsorship
About the job
Requirements
- A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, Engineering, or a related field is required.
- At least 10 years of professional experience in Artificial Intelligence, Machine Learning, Generative AI, Agentic AI, or related domains is required.
- Hands-on experience designing, developing, implementing, or deploying Agentic AI systems and LLM-powered applications is required.
- Prior experience delivering online instructor-led training for professionals or adult learners is required.
- Expertise across Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Generative AI, and Agentic AI is required.
- Understanding of Agentic AI architectures, AI agents, LLM-powered applications, agentic workflows and automation, Large Language Models, prompt engineering, Retrieval-Augmented Generation, tool calling, function calling, AI agent memory and context management, planning, reasoning, task decomposition, multi-agent systems, LLM orchestration, neural networks, attention mechanisms, transformers, text classification, BERT, GPT, GANs, VAEs, diffusion models, and responsible AI, security, bias, and ethical AI is required.
- Hands-on experience with Agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks is required.
- Understanding of AI APIs, LLM integration, and AI automation workflows is required.
- Hands-on expertise in Agentic AI and AI agent development is required.
- Instructional and learner engagement abilities are required.
- Ability to simplify complex Agentic AI, AI/ML, and Generative AI concepts through practical examples and demonstrations is required.
- Experience building or demonstrating LLM-powered applications and AI agent workflows is required.
- Understanding of Retrieval-Augmented Generation architectures, tool calling, function calling, and LLM orchestration is required.
- Ability to explain AI agent architectures, planning, reasoning, memory, and multi-agent collaboration is required.
- Understanding of Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, and Generative AI is required.
- Experience conducting live virtual training using Zoom, Microsoft Teams, or similar platforms is required.
- Facilitation, Q&A management, and interactive, activity-driven learning abilities are required.
- Ability to connect Agentic AI concepts with real-world business use cases is required.
- Applicants must be legally authorized to work in the United States at the time of application and throughout employment.
- Availability for evening and weekend sessions is preferred based on learner cohort schedules.
Responsibilities
- Deliver live online instructor-led training sessions covering Agentic AI, Generative AI, Machine Learning, Deep Learning, Natural Language Processing, and Large Language Models.
- Teach Agentic AI and Generative AI topics, including Agentic AI fundamentals and evolution; AI agents and autonomous AI systems; agent architectures and agentic workflows; Large Language Models and LLM-powered applications; prompt engineering and advanced prompting techniques; Retrieval-Augmented Generation; tool and function calling; AI agent memory and context management; planning, reasoning, and task decomposition; multi-agent systems and agent collaboration; AI workflow automation; LLM orchestration; Machine Learning and Deep Learning fundamentals; neural networks, attention mechanisms, and transformers; Natural Language Processing and text classification; BERT, GPT, GANs, VAEs, and diffusion models; responsible AI, security, bias, and ethical considerations; and emerging trends in Agentic AI and autonomous AI systems.
- Prepare and continuously update training presentations, learning materials, practical exercises, hands-on activities, Agentic AI demonstrations, AI agent use cases, real-world business case studies, templates, and reference materials.
- Conduct interactive workshops, Q&A sessions, quick knowledge checks, guided practice, and hands-on demonstrations.
- Conduct practical demonstrations using modern AI frameworks, platforms, and tools such as LangChain, LangGraph, CrewAI, AutoGen, ChatGPT, Hugging Face, AI APIs and LLM platforms, Retrieval-Augmented Generation frameworks and vector databases, and workflow automation platforms.
- Guide learners through real-world Agentic AI scenarios using practical business and industry examples.
- Demonstrate how AI agents can reason, plan, use tools, retrieve information, collaborate with other agents, and automate multi-step workflows.
- Support learners in developing practical skills for building and implementing LLM-powered applications and Agentic AI solutions.
- Maintain learner engagement and instructional quality throughout all sessions.
- Stay updated with current Agentic AI practices, Generative AI developments, LLM technologies, AI frameworks, autonomous AI systems, and emerging industry trends.
- Collaborate with internal curriculum teams to improve training content and learner outcomes.
- Provide individualized learner support during live training sessions and scheduled office hours.
- Maintain regular communication regarding learner progress, training expectations, and skill development.
- Respond promptly and professionally to learner and internal team communications.
- Provide timely, constructive feedback on practical exercises, activities, and learning assessments.
- Support learners in applying Agentic AI, Generative AI, Machine Learning, and LLM concepts to practical business scenarios.
- Help learners design and experiment with AI agents, agentic workflows, Retrieval-Augmented Generation applications, and AI-powered automation through guided practice and hands-on demonstrations.
- Evaluate learner progress based on participation, knowledge checks, practical exercises, and hands-on activities.
- Maintain accurate records of learner engagement and performance.
- Identify learners requiring additional support and collaborate with internal teams to improve learning outcomes.
- Contribute to continuous improvement initiatives for training quality and learner success.
- Adhere to institutional policies and instructional standards.
- Foster an inclusive, collaborative, and professional learning environment.
- Serve as a mentor and industry role model for learners developing their Agentic AI and Generative AI skills.
- Collaborate with instructional staff and curriculum teams to enhance learner experience and training effectiveness.
- Represent Simplilearn professionally when interacting with learners, staff, and external stakeholders.
Desired Qualifications
- Experience training professionals, working professionals, or adult learners in Agentic AI, AI/ML, or Generative AI is preferred.
- Experience creating Agentic AI training content, exercises, demonstrations, or case studies is preferred.
- Hands-on experience developing production-grade AI agents or agentic applications is preferred.
- Experience with multi-agent frameworks such as CrewAI, AutoGen, LangGraph, or similar technologies is preferred.
- Experience implementing Retrieval-Augmented Generation pipelines, vector databases, embeddings, and knowledge retrieval systems is preferred.
- Experience integrating LLMs with external APIs, databases, tools, and enterprise systems is preferred.
- Exposure to AI workflow automation and orchestration platforms is preferred.
- Experience with Python and AI development environments is preferred.
- Familiarity with emerging Agentic AI architectures, autonomous AI systems, and AI coding agents is preferred.
- Experience demonstrating AI agent use cases across different business functions is preferred.
- Understanding of responsible AI, AI ethics, security, bias, and governance is preferred.
- Flexibility for evening and weekend availability based on learner cohort schedules is preferred.
About the company
FullStack Academy provides immersive bootcamps to help people switch into technology careers. Its flagship program centers on hands-on, full-stack JavaScript training (Node.js, React, PostgreSQL) and has expanded to cybersecurity, data analytics, and DevOps, all with project-based learning and career services like coaching, resume help, and interview prep. The school differentiates itself through a selective admissions process and a strong emphasis on real-team project experience and job placement support, aiming to bridge education with industry outcomes. The goal is to equip students with job-ready tech skills and help them secure high-paying roles, while expanding access through acquisitions and broader program offerings.
Company Size
201-500
Company Stage
Acquired
Total Funding
$130K
Headquarters
New York City, New York
Founded
2012
Get referred to Fullstack Academy
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Simplify's Take
What believers are saying
- September 2026 cohorts are open, showing active enrollment across multiple programs.
- July 2026 claims 130-plus graduates found jobs in ninety days.
- University launches with LSU and Michigan expand recruiting beyond direct-to-consumer marketing.
What critics are saying
- Bootcamp demand stays fragile if tuition discounts keep falling from $11,995 to $8,995.
- Nelis Parts replaced Jerrad Tausz in 2023, signaling leadership churn after ownership change.
- If partnerships weaken, Fullstack Academy loses its main distribution channel and dies as a brand.
What makes Fullstack Academy unique
- Simplilearn-backed Fullstack Academy keeps 20-plus university and government partnerships in 2026.
- Live online cohorts span AI, cybersecurity, data analytics, and DevOps.
- Amazon Career Choice and CompTIA partnerships strengthen employer-recognized job pathways.
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Benefits
- Remote Work Options