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 onboarding 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