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Fullstack Academy

Immersive coding bootcamp for software engineering

Instructor - AGS + Agentic AI

Corporate & Technical TrainingConfirmed live in the last 24 hours
Part-timeRemote in USA$60 /hr

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field is required.
  • At least 8 years of professional experience in Artificial Intelligence, Generative AI, Machine Learning, Software Engineering, Data Science, or related technology domains is required.
  • Significant hands-on experience with Generative AI and Agentic AI technologies is required.
  • Demonstrated experience designing, developing, implementing, or deploying AI agents or LLM-powered applications is required.
  • Prior experience delivering online instructor-led training to professionals or adult learners is required.
  • Strong understanding of Generative AI, LLMs, Agentic AI, AI agents, automation, and AI-powered applications is required.
  • Strong understanding of Agentic AI architectures; AI agent design and development; LLM-powered applications; agentic workflows; prompt engineering; context engineering; retrieval-augmented generation (RAG); tool calling and function calling; agent memory and context management; planning and reasoning; task decomposition; multi-agent systems; LLM orchestration; AI workflow automation; AI APIs and integrations; and responsible AI, security, privacy, and governance is required.
  • Hands-on experience with Agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks is required.
  • Strong experience working with modern LLM platforms such as OpenAI, Anthropic, Google Gemini, Microsoft Copilot, or similar platforms is required.
  • Strong understanding of AI automation and workflow orchestration is required.
  • Experience with Python or another programming language used for AI development is required.
  • Excellent communication, presentation, storytelling, and facilitation skills are required.
  • Strong hands-on expertise in Generative AI and Agentic AI is required.
  • Strong practical experience building or implementing AI agents and agentic workflows is required.
  • Ability to simplify advanced AI concepts through practical examples and live demonstrations is required.
  • Experience building or demonstrating LLM-powered applications, RAG solutions, AI agents, and automation workflows is required.
  • Experience with frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar Agentic AI frameworks is required.
  • Strong understanding of RAG, tool calling, function calling, agent memory, planning, reasoning, and LLM orchestration is required.
  • Ability to explain multi-agent architectures and agent collaboration is required.
  • Experience working with ChatGPT, Claude, Gemini, Microsoft Copilot, or similar AI assistants is required.
  • Experience with AI APIs, integrations, external tools, databases, and enterprise systems is required.
  • Experience with workflow automation platforms such as n8n or similar tools is required.
  • Strong understanding of AI-powered business automation and productivity use cases is required.
  • Experience conducting live virtual training using Zoom, Microsoft Teams, or similar platforms is required.
  • Strong learner engagement, facilitation, and Q&A management skills are required.
  • Ability to conduct interactive, activity-driven learning experiences is required.
  • Ability to connect Agentic AI concepts with real-world business applications is required.
  • Applicants must be legally authorized to work in the United States at the time of application and throughout employment.

Responsibilities

  • Deliver live online instructor-led training sessions covering Advanced Generative AI, Agentic AI, AI Agents, LLMs, AI automation, and emerging AI technologies.
  • Teach core AGS and Agentic AI topics, including advanced Generative AI concepts and applications; the evolution of Generative AI toward Agentic AI; AI agents and autonomous AI systems; agentic AI architectures and design patterns; agentic workflows and automation; LLMs and LLM-powered applications; prompt engineering and advanced prompting techniques; context engineering; RAG; tool calling and function calling; AI agent memory and context management; planning, reasoning, and task decomposition; multi-agent systems and agent collaboration; LLM orchestration; AI-powered workflow automation; AI agents interacting with APIs, databases, files, and external tools; end-to-end AI agent solutions; evaluating and improving AI agent performance; responsible AI, security, privacy, bias, and governance; and emerging Agentic AI and autonomous-system trends.
  • Prepare and continuously update training presentations, learning materials, practical exercises, hands-on labs, Agentic AI demonstrations, AI agent use cases, real-world business case studies, prompt libraries and templates, reference architectures, practical assignments, and activities.
  • Conduct interactive workshops, Q&A sessions, knowledge checks, guided practice, and hands-on demonstrations.
  • Conduct practical demonstrations using modern AI tools, platforms, frameworks, and development environments, including ChatGPT, Claude, Gemini, Microsoft Copilot, LangChain, LangGraph, CrewAI, AutoGen, AI APIs and LLM platforms, RAG frameworks, vector databases, embedding and retrieval technologies, n8n and other workflow automation platforms, AI coding agents and development tools, and Python and AI development environments.
  • Demonstrate how AI agents understand and decompose complex tasks; plan and reason through multi-step problems; use tools and external APIs; retrieve and analyze information; maintain context and memory; collaborate with specialized agents; execute automated workflows; interact with enterprise systems; generate and validate outputs; and operate with human-in-the-loop oversight.
  • Guide learners through real-world Agentic AI scenarios across operations, marketing, finance, customer service, software development, research, productivity, and enterprise automation.
  • Support learners in designing and developing practical LLM-powered applications, AI agents, multi-agent systems, RAG applications, and AI automation workflows.
  • Maintain learner engagement and instructional quality throughout all sessions.
  • Stay current with Generative AI, Agentic AI, AI agent frameworks, LLMs, AI coding agents, automation platforms, and emerging AI architectures.
  • Collaborate with internal curriculum teams to improve training content, practical activities, 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 Generative AI, Agentic AI, LLM, RAG, and AI automation concepts to practical business scenarios.
  • Help learners design and experiment with AI agents, multi-agent workflows, RAG applications, tool integrations, 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 Generative AI and Agentic AI capabilities.
  • 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 senior professionals, technology professionals, or adult learners in Generative AI and Agentic AI is preferred.
  • Experience creating Advanced Generative AI and Agentic AI training content, labs, exercises, demonstrations, and case studies is preferred.
  • Hands-on experience developing production-grade AI agents or agentic applications is preferred.
  • Experience implementing multi-agent systems using 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, enterprise tools, and business applications is preferred.
  • Experience with AI workflow automation and orchestration platforms, including n8n or similar platforms, is preferred.
  • Experience with AI coding agents such as Claude Code, Cursor, GitHub Copilot, Codex, or similar tools is preferred.
  • Experience building AI-powered productivity and business automation solutions is preferred.
  • Experience demonstrating AI agent use cases across different business functions is preferred.
  • Familiarity with emerging Agentic AI architectures and autonomous AI systems is preferred.
  • Strong understanding of responsible AI, AI security, privacy, ethics, governance, and risk management is preferred.
  • Evening and weekend availability is preferred based on learner cohort schedules.

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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