AI Software Engineering Program Lead

4 semanas atrás


Lisboa, Lisboa, Portugal Ironhack Tempo inteiro

Company Overview

Ironhack is a global tech school ranked top 2 worldwide, offering intensive courses and bootcamps in web development, UX/UI design, data analytics, and cybersecurity. Our mission is to help people transform their careers and join a thriving community of tech professionals.

About the Gig

We are looking for an expert in full-stack web development (MERN stack, Java, and SQL) and AI/ML integration to collaborate closely with our education team on a comprehensive 1-year AI software engineering program. As a subject matter expert and/or lead instructor, you will be responsible for developing and delivering content that covers the latest strategies, tools, and techniques in frontend and backend development, AI integration, and modern DevOps practices.

Responsibilities

  • Participate in discussions with external stakeholders to understand their needs and define the scope.
  • Create a detailed syllabus for the bootcamp, including learning outcomes, modules to be taught, and assessment methods.
  • Develop course materials for self-paced prework, as well as teacher-led and self-paced bootcamp content, including lessons, exercises, labs, and projects.
  • Design and create hands-on projects aligned with learning goals, such as building web applications, AI-powered tools, and full-stack solutions.
  • Create tailored project briefs and evaluation rubrics that reflect the objectives of the bootcamp and industry best practices.

Requirements

At least 5 years of hands-on experience in full-stack web development (MERN, Java, and SQL) and AI/ML integration, with a strong focus on both technical and educational expertise. Proven experience in both backend (Java, SQL, Spring Boot) and frontend development, including the integration of AI models into production-level web applications. Experience in DevOps practices, CI/CD pipelines, and containerization technologies (e.g., Docker, Terraform) is a strong plus.

Compensation

The estimated salary for this position is $120,000 per year, based on national averages in the United States. However, please note that this figure is subject to change and may vary depending on location, experience, and other factors.



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