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 Lang Graph, CrewAI, or Lang Chain
• 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

• 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