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Part Time Instructor - Agentic AI (US)

Interview Kickstart

Role overview

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

Responsibilities

  • Conduct lectures, workshops, and interactive sessions to teach machine learning principles, algorithms, and methodologies
  • Staying current with the latest trends and advancements in machine learning and related fields, engaging with industry professionals
  • Conducting research in machine learning and contributing to developing new techniques, models, or applications
  • Help the IK team in onboarding and training other instructors and coaches

Key facts

Hard skills

Other skills

  • Teaching
  • Mentorship
  • Collaboration
  • Communication

About the company

Interview Kickstart logo

Interview Kickstart

Interview Kickstart is a global leader in career up-leveling, committed to elevating the careers of tech professionals by helping them land their dream jobs with top tech companies. Our industry-acclaimed courses center around interview preparation and career transition into rapidly growing tech domains such as AI, ML and Data Science. With a roster of over 600 instructors, all seasoned professionals hailing from FAANG and other top Silicon Valley companies, we offer expertise across a wide array of technical and career competencies. Core to our curriculum is the focus on Algorithms, Data Structures, System Design, etc.– the essential elements for guaranteed interview success. Our comprehensive approach encompasses live classes, mock interviews, personalized coaching, resume reviews, career strategies, and valuable referrals. As of today, we have successfully guided over 17,000 tech professionals through transformative career journeys. We take pride in the fact that our students consistently secure offers from industry giants such as Google, Facebook, Amazon, Netflix, Apple, and LinkedIn often securing salaries as high as $1.28 million. Why IK? - We embody ownership as our core value enabling us to offer flexible work hours so that you can pursue your passion and maintain a harmonious work-life balance - Our forever remote culture allows you to work from anywhere - We offer fair, competitive, market-benchmarked salaries and lucrative stock options - We understand the importance of a comfortable workspace and cover costs for your ergonomic work setup, mobile and internet via monthly allowances - Your health matters to us and that’s why we provide 100% free health insurance premiums for both employees and their dependents - Your mental well-being matters to us and that’s why we offer unlimited counseling sessions with certified therapists - Last but not least, we have virtual community options for all kinds of connoisseurs so that you can find your tribe

Company details

Company size51 - 200

Links

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Job description

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

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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