Software Engineer Intern – AI Applications

Cambium Learning Group

16h • Remote

About The Position

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. You will 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. You will gain practical experience working with modern AI and generative technologies, learn how production‑grade AI systems are designed, tested, and deployed, understand best practices for building safe, scalable, and user‑focused AI features, and see how cross‑functional teams turn learning science, advances in technology and user needs into high impact software systems and products.

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

Responsibilities

• 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 This Job Offers

• Career Level: Intern