Part Time Instructor – Agentic AI

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏱ Part Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

Where this job comes from

Posted on Interview Kickstart's careers page, not through a job board

First seen by Remote Rocketship 0 minutes ago

Logo of Interview Kickstart

Interview Kickstart

201 - 500 employees

Founded 2014

📚 Education

Education

Interview Kickstart is a professional training and coaching company that focuses on helping software engineers, product managers, data scientists, and tech leaders enhance their careers. With a team of over 700 FAANG instructors, the company offers comprehensive support in upskilling, interview preparation, and career development, leveraging AI technologies to optimize resumes and provide tailored job referrals. Recognized by TIME x Statista and GSV 150, Interview Kickstart emphasizes the importance of AI skills for job readiness in today's market, particularly for high-demand positions at leading technology companies.

📋 Description

• Conduct lectures, workshops, and interactive sessions covering machine learning principles, algorithms, and methodologies • Use lectures, demonstrations, hands-on exercises, and group discussions as teaching methods • Stay current with machine learning trends and advancements • Engage with industry professionals and collaborate on projects or internships to provide students with real-world experiences • Conduct machine learning research and contribute to new techniques, models, or applications • Improve session flow and delivery with other instructors, subject matter experts, and the IK team • Assist the IK team with onboarding and training other instructors and coaches • Discuss curriculum evolution with IK’s curriculum team

🎯 Requirements

• 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 • Willingness to work on weekends/evenings and availability as per the Pacific time zone

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