Part Time Instructor - Agentic AI

Interview Kickstart is a premier career transformation platform turbocharging tech careers through AI upskilling.

Founded in 2014 in Santa Clara by Soham Mehta, ex-Box Engineering Leader, and Ryan Valles, a transformative P&L leader and former CEO with a track record of scaling ventures, Interview Kickstart’s vision is to help every tech professional thrive in today’s fast‑evolving tech industry.

With 40+ domain‑specific courses—from foundational Machine Learning and Generative AI to Agentic AI, System Design, and DSA—Interview Kickstart equips engineers, PMs, data professionals, and tech leaders to accelerate their careers. Its 600+ instructors—industry practitioners, hiring managers, and senior engineers from FAANG+ companies—bring real‑world insight and cutting‑edge expertise into every classroom.

Beyond upskilling, Interview Kickstart offers end‑to‑end career support. Personalized mock interviews, resume and Linked In branding, career coaching, salary negotiation guidance, and performance‑based job referrals ensure that your AI upskilling translates into real career breakthroughs. Over 25,000 professionals have already advanced their careers through Interview Kickstart.

Recognized by TIME x Statista and GSV 150 as a top EdTech company, Interview Kickstart is the go‑to platform for tech professionals looking to future‑proof their careers in the age of AI.

• 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:
  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.