Instructor – AGS, Agentic AI

Job not on LinkedIn

🕒 September 11

🇺🇸 United States – Remote

💵 $60 / hour

⏱ Part Time

🟠 Senior

🔴 Lead

🤖 Artificial Intelligence

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Full Stack Academy

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2012

📚 Education

Education

Full Stack Academy is a renowned institution that offers a variety of tech bootcamps to equip students with skills in software engineering, cybersecurity, data analytics, and artificial intelligence. The academy provides full-time and part-time programs tailored to meet the needs of individuals seeking a career in tech. With a commitment to inclusion and personal growth, Full Stack Academy supports students with career success resources and has a strong network of partners interested in hiring its graduates, such as Google, Amazon, and Facebook. The academy is known for its intensive, hands-on learning environment and offers courses that are suitable for beginners and experienced learners alike.

📋 Description

• Deliver live online instructor-led training sessions covering Advanced Generative AI, Agentic AI, AI Agents, LLMs, AI automation, and emerging AI technologies • Teach agentic AI architectures, workflows, LLM applications, prompt and context engineering, RAG, tool/function calling, memory, planning, reasoning, task decomposition, multi-agent systems, orchestration, automation, responsible AI, and governance • Prepare and continuously update presentations, learning materials, practical exercises, hands-on labs, demonstrations, use cases, case studies, prompt libraries, reference architectures, assignments, and activities • Conduct interactive workshops, Q&A sessions, knowledge checks, guided practice, and hands-on demonstrations • Demonstrate AI tools, platforms, frameworks, APIs, vector databases, retrieval technologies, workflow automation platforms, and Python development environments • 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 LLM-powered applications, AI agents, multi-agent systems, RAG applications, and AI automation workflows • Provide individualized learner support during live sessions and scheduled office hours • Maintain communication regarding learner progress, expectations, and skill development • Provide timely feedback on exercises, activities, and assessments • Evaluate learner progress and maintain accurate engagement and performance records • Identify learners needing additional support and collaborate with internal teams to improve outcomes • Foster an inclusive, collaborative, and professional learning environment • Collaborate with instructional staff and curriculum teams to enhance training effectiveness • Represent Simplilearn professionally with learners, staff, and external stakeholders

🎯 Requirements

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

🏖️ Benefits

• Flexible evening and weekend availability based on learner cohort schedules • Compensation for all hours worked in accordance with applicable federal, state, and local wage and hour laws • Inclusive work environment • Fully online work format