Instructor – Agentic AI

Job not on LinkedIn

🔥 2 hours ago

🇺🇸 United States – Remote

💵 $80 / hour

⏱ Part Time

🟠 Senior

🔴 Lead

🤖 Artificial Intelligence

👻 Ghost score 0%

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 in Agentic AI, Generative AI, Machine Learning, Deep Learning, NLP, and Large Language Models • Explain complex AI concepts and demonstrate agentic AI architectures, workflows, frameworks, and tools • Teach topics including AI agents, LLM applications, prompt engineering, RAG, tool/function calling, agent memory, planning, reasoning, multi-agent systems, automation, orchestration, neural networks, transformers, NLP, generative models, and responsible AI • Prepare and continuously update presentations, learning materials, practical exercises, hands-on activities, demonstrations, use cases, case studies, templates, and reference materials • Conduct interactive workshops, Q&A sessions, knowledge checks, guided practice, and hands-on demonstrations • Guide learners through real-world Agentic AI scenarios and business applications • Support learners in building LLM-powered applications and Agentic AI solutions • Provide individualized learner support during live sessions and scheduled office hours • Maintain communication regarding learner progress, expectations, and skill development • Provide timely, constructive feedback on exercises, activities, and assessments • Evaluate learner progress using participation, knowledge checks, practical exercises, and hands-on activities • Maintain accurate learner engagement and performance records • Identify learners needing additional support and collaborate with internal teams to improve outcomes • Stay current with Agentic AI, Generative AI, LLM technologies, frameworks, autonomous AI systems, and industry trends • Collaborate with curriculum and instructional teams to improve content, training quality, learner experience, and outcomes • Foster an inclusive, collaborative, and professional learning environment • Represent Simplilearn professionally with learners, staff, and external stakeholders

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, Engineering, or a related field • 10+ years of professional experience in Artificial Intelligence, Machine Learning, Generative AI, Agentic AI, or related domains • Strong hands-on experience designing, developing, implementing, or deploying Agentic AI systems and LLM-powered applications • Prior experience delivering online instructor-led training for professionals or adult learners • Demonstrated expertise across AI, Machine Learning, Deep Learning, NLP, Generative AI, and Agentic AI • Strong understanding of Agentic AI architectures, AI agents, LLM-powered applications, agentic workflows, automation, Large Language Models, Prompt Engineering, RAG, tool calling, function calling, AI agent memory and context management, planning, reasoning, task decomposition, multi-agent systems, LLM orchestration, Machine Learning, Deep Learning, Neural Networks, Attention Mechanisms, Transformers, NLP, text classification, BERT, GPT, GANs, VAEs, Diffusion Models, and responsible AI • Hands-on experience with Agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks • Strong understanding of AI APIs, LLM integration, and AI automation workflows • Excellent communication, presentation, and facilitation skills • Strong instructional and learner engagement abilities • Experience building or demonstrating LLM-powered applications and AI agent workflows • Experience conducting live virtual training using Zoom, Microsoft Teams, or similar platforms • Ability to conduct interactive, activity-driven learning experiences • Ability to connect Agentic AI concepts with real-world business use cases • Applicants must be legally authorised to work in the United States at the time of application and throughout employment • Flexibility for evening and weekend availability is preferred based on learner cohort schedules

🏖️ Benefits

• Flexible part-time schedule of approximately 8–12 hours per week • Compensation for all hours worked in accordance with applicable federal, state, and local wage and hour laws • Live online work format • Evening and weekend scheduling flexibility based on learner cohort schedules