Part Time Instructor - Agentic AI (US)

Preferred Qualifications:

Prior experience building and deploying LLM or agent-based applications in real-world settings

Strong proficiency with agent frameworks like LangGraph, CrewAI, or LangChain

Strong understanding of system design principles, especially in AI/ML-based architectures

Demonstrated ability to explain complex technical topics to diverse audiences

Experience teaching, mentoring, or creating content for working professionals in tech

Excellent communication and collaboration skills, with a learner-first mindset

Bonus: Contributions to open-source AI projects, publications, or prior experience with AI upskilling programs

Responsibilities:

Instruction Delivery: Conduct lectures, workshops, and interactive sessions to teach machine learning principles, algorithms, and methodologies. Instructors may use various teaching methods, including lectures, demonstrations, hands-on exercises, and group discussions.

Industry Engagement: Staying current with the latest trends and advancements in machine learning and related fields, engaging with industry professionals, and collaborating on projects or internships to provide students with real-world experiences.

Research and Development: Conducting research in machine learning and contributing to developing new techniques, models, or applications.

Constantly improve the session flow and delivery by working with other instructors, subject matter experts, and the IK team.

Help the IK team in and training other instructors and coaches

Have regular discussions with IK’s curriculum team in evolving the curriculum.

Should be willing to work on weekends/evenings and be available as per the Pacific time zone Demo Guidelines for Agentic AI