J

Agentic AI Engineering Instructor (Lead)

Jobgether • United States
Remote
This Job is No Longer Active This position is no longer accepting applications

Lead immersive reskilling program for experienced professionals transitioning into Agentic AI Engineering roles. Teach hands-on system design and real-world application using modern AI platforms. Guide learners through complex concepts such as orchestration, memory, and planning in LLM-based systems.

Key Highlights
Lead live technical instruction and hands-on learning experiences
Deliver live remote instruction and build-along sessions on agentic AI systems
Guide learners through hands-on labs covering multi-agent orchestration, design patterns, and API integration
Key Responsibilities
Lead live technical instruction and hands-on learning experiences
Deliver live remote instruction and build-along sessions on agentic AI systems
Guide learners through hands-on labs covering multi-agent orchestration, design patterns, and API integration
Technical Skills Required
Python API development Advanced prompt engineering Azure AI Foundry Copilot Studio Semantic Kernel
Benefits & Perks
Fixed project compensation of $15,500 for the 2-week engagement
Fully remote work arrangement
Short-term, high-impact consulting opportunity

Job Description

This is a high-intensity, short-term instructional engagement focused on shaping the next generation of AI practitioners. You will lead an immersive reskilling program designed to transition experienced professionals into Agentic AI Engineering roles, with a strong emphasis on hands-on system design and real-world application. The role blends deep technical expertise with live teaching, mentorship, and architectural guidance across modern AI platforms. You will help learners move beyond theory to build functional multi-agent systems using cutting-edge tools and frameworks. Operating in a fast-paced, remote-first learning environment aligned with Pacific Time hours, you will guide professionals through complex concepts such as orchestration, memory, and planning in LLM-based systems. This is a highly impactful role for an experienced engineer who enjoys teaching, mentoring, and translating advanced AI systems into practical understanding.
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