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Software Engineer Intern – AI Applications

Cambium Learning Group
Remote, USA
Internship, Full Time
Entry
Remote
Discovered 1 months ago
PythonJavaScriptTypeScriptC#Large Language Models (LLMs)AWS

Full Job Posting

Internship Overview

Are you excited to explore how AI can transform learning? As a Software Engineer Intern (AI Applications), you’ll join a collaborative team of engineers and researchers building AI‑powered educational assessment systems used by millions of students. This internship offers hands‑on experience contributing to real AI products while learning from experienced engineers at the forefront of EdTech.

Internship Responsibilities

  • As an intern, you’ll support and learn from the AI Applications team by contributing to projects such as:
  • Assisting in the development of AI‑powered features using Large Language Models (LLMs)
  • Supporting AI agent workflows, including prompt design, tool integration, and basic orchestration logic
  • Helping integrate generative AI capabilities into educational platforms
  • Contributing to evaluation and testing of AI systems for quality, safety, and performance
  • Collaborating with engineers, product managers, and researchers on real‑world learning use cases
  • Exploring responsible AI practices in a mission‑driven education environment

What You’ll Learn

Practical experience working with modern AI and generative technologies

How production‑grade AI systems are designed, tested, and deployed

Best practices for building safe, scalable, and user‑focused AI features

How cross‑functional teams turn learning science, advances in technology and user needs into high impact software systems and products

Internship Requirements

  • Currently pursuing a postgraduate degree in Computer Science, Data Science, Software Engineering, AI/ML, or a related field.
  • Experience (academic or project‑based) with at least one programming language such as Python, JavaScript/TypeScript, or C#
  • Familiarity with web development, APIs, or backend systems
  • Interest in Generative AI, LLMs, or intelligent systems
  • Strong problem‑solving skills and eagerness to learn
  • Ability to collaborate effectively in a team environment
  • Coursework or projects involving advanced AI, machine learning, or NLP
  • Exposure to cloud platforms (AWS, Azure, or GCP)
  • Interest in education technology or applied learning sciences
  • To apply for this opportunity, simply click on the “Apply” button and submit a cover letter and resume.

An Equal Opportunity Employer

We are dedicated to fostering a culture that celebrates unique backgrounds, ideas, and experiences. All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability.

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