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: Stay current with the latest trends and advancements in machine learning and related fields, engage with industry professionals, and collaborate on projects or internships to provide students with real‑world experiences.
• Research and Development: Conduct research in machine learning and contribute 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.