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Fullstack Academy

Immersive coding bootcamp for software engineering

Instructor - Agentic AI

Corporate & Technical TrainingConfirmed live in the last 24 hours
Part-timeRemote in USA$80 /hr

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.
  • Demonstrated expertise across Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Generative AI, and Agentic AI is required.
  • Strong understanding of Agentic AI architectures and AI agents; LLM-powered applications; agentic workflows and automation; Large Language Models; prompt engineering; retrieval-augmented generation; tool calling and function calling; AI agent memory and context management; planning, reasoning, and task decomposition; multi-agent systems; LLM orchestration; Machine Learning and Deep Learning; neural networks, attention mechanisms, and transformers; Natural Language Processing and text classification; BERT, GPT, GANs, VAEs, and 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.
  • A strong understanding of AI APIs, LLM integration, and AI automation workflows is required.
  • Strong hands-on expertise in Agentic AI and AI agent development is required.
  • Instructional and learner-engagement abilities are required.
  • The 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.
  • Experience with frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar Agentic AI frameworks is required.
  • A strong understanding of RAG architectures, tool calling, function calling, and LLM orchestration is required.
  • The ability to explain AI agent architectures, planning, reasoning, memory, and multi-agent collaboration is required.
  • A strong 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.
  • Learner engagement, facilitation, and Q&A management skills are required.
  • The ability to conduct interactive, activity-driven learning experiences is required.
  • The ability to connect Agentic AI concepts with real-world business use cases is required.
  • Availability for evening and weekend sessions is preferred based on learner cohort schedules.
  • Part-time instructors typically work 8–12 hours per week, depending on training schedules; each session is approximately three hours.
  • Applicants must be legally authorized to work in the United States at application and throughout employment.

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 fundamentals, including AI agents and autonomous systems; agent architectures and workflows; LLMs and LLM-powered applications; prompt engineering; retrieval-augmented generation; tool and function calling; agent memory and context management; planning, reasoning, and task decomposition; multi-agent systems and collaboration; 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 ethics; and emerging trends in Agentic AI and autonomous 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, RAG 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 current with 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 to learner and internal-team communications promptly and professionally.
  • 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, RAG 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 who need 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 Agentic AI and Generative AI skills.
  • Collaborate with instructional staff and curriculum teams to improve 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 RAG 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.
  • A strong understanding of responsible AI, AI ethics, security, bias, and governance is preferred.

About the Company

Fullstack Academy

Immersive coding bootcamp for software engineering

FullStack Academy provides intensive bootcamps to help people transition into tech careers. Its flagship program teaches full-stack JavaScript (Node.js, React, PostgreSQL) through project-based learning, with extensions into cybersecurity, data analytics, and DevOps. The program uses selective admissions and combines hands-on projects with career services like coaching, resume help, and interview prep to boost job outcomes. Now part of Simplilearn, it aims to place graduates into high-paying tech roles by offering practical skills and strong job placement support.

Company size
201-500
Company stage
Acquired
Total funding
$130K
Headquarters
New York City, New York
Founded
2012

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