Part Time Instructor - Agentic AI (US)
Interview Kickstart
Job Description
<div class="content-intro"><p><a href="https://himalayas.app/companies/interview-kickstart">Interview Kickstart</a> is a premier career transformation platform turbocharging tech careers through AI upskilling.</p><p>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, <a href="https://himalayas.app/companies/interview-kickstart">Interview Kickstart</a>’s vision is to help every tech professional thrive in today’s fast-evolving tech industry.</p><p>With 40+ domain-specific courses—from foundational Machine Learning and Generative AI to Agentic AI, System Design, and DSA—<a href="https://himalayas.app/companies/interview-kickstart">Interview Kickstart</a> 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.</p><p>Beyond upskilling, <a href="https://himalayas.app/companies/interview-kickstart">Interview Kickstart</a> offers end-to-end career support. Personalized mock interviews, resume and LinkedIn 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 <a href="https://himalayas.app/companies/interview-kickstart">Interview Kickstart</a>.</p><p>Recognized by TIME x Statista and GSV 150 as a top EdTech company, <a href="https://himalayas.app/companies/interview-kickstart">Interview Kickstart</a> is the go-to platform for tech professionals looking to future-proof their careers in the age of AI.</p></div><p style="text-align: left;"><strong>Preferred Qualifications: </strong><br><br>● Prior experience building and deploying LLM or agent-based applications in real-world settings <br>● Strong proficiency with agent frameworks like LangGraph, CrewAI, or LangChain<br>● Strong understanding of system design principles, especially in AI/ML-based architectures <br>● Demonstrated ability to explain complex technical topics to diverse audiences <br>● Experience teaching, mentoring, or creating content for working professionals in tech <br>● Excellent communication and collaboration skills, with a learner-first mindset <br>● Bonus: Contributions to open-source AI projects, publications, or prior experience with AI upskilling programs<br><br><strong>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. <br>● Industry Engagement: Staying current with the latest trends and advancements in machine learning and related fiel