AI Full-Stack Development Instructor

Sizanid Staffing

About The Position

Our client, a growing educational and technology organization, is seeking an experienced AI Full-Stack Development Instructor to teach and mentor students on full-stack software development, AI-powered application development, and practical strategies for becoming successful AI Full-Stack Developers. This role is ideal for an experienced full-stack developer or AI engineer who is passionate about teaching and sharing real-world industry knowledge with aspiring software developers and AI technology professionals.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, or related field required.
Minimum of 4–5 years of practical experience in full-stack development, software engineering, AI application development, or related technology fields.
Strong understanding of frontend and backend development principles and software architecture.
Experience working with technologies such as JavaScript, React, Node.js, Python, APIs, databases, and cloud platforms.
Familiarity with AI/ML tools, Generative AI, automation tools, or AI-powered application development.
Experience integrating AI features into web or software applications.
Excellent communication, presentation, and mentoring skills.
Ability to explain technical concepts clearly and engage students effectively.
Strong coding, analytical, and problem-solving abilities.
Must be legally authorized to work in the USA or Canada.

Nice To Haves

Experience delivering technical training, workshops, or mentoring programs.
Familiarity with cloud deployment, DevOps practices, and version control systems.
Experience building and deploying production-ready web applications or AI-powered platforms.
Certifications in software engineering, cloud technologies, AI, or web development are an advantage.

Responsibilities

Deliver engaging training sessions on full-stack development concepts, AI integration, and modern software engineering practices.
Teach students how to design, build, test, and deploy AI-powered web and software applications.
Guide students on frontend and backend development technologies, databases, APIs, and cloud deployment strategies.
Share practical experiences, case studies, and real-world AI full-stack project insights with students.
Teach students programming concepts using technologies such as JavaScript, Python, React, Node.js, databases, and AI frameworks.
Train students on integrating AI models, APIs, chatbots, and automation tools into full-stack applications.
Develop instructional materials, coding exercises, presentations, and hands-on development projects.
Facilitate workshops, live coding demonstrations, and project-based learning sessions.
Mentor students on portfolio development, technical problem-solving, and career pathways within full-stack and AI development.
Stay updated on emerging technologies, software engineering trends, AI frameworks, and development tools.