Software Engineer Intern – AI Applications
Cambium Assessment · Concord, MA
- Hybrid
- Full-time
- $40,000 / year
- Concord, MA
Job highlights
- Internship developing AI educational assessment systems.
- Work with LLMs and generative AI technologies.
- Gain experience in AI system design and deployment.
- Collaborate with engineers, product managers, researchers.
- Explore responsible AI in mission-driven EdTech.
About the role
Software Engineer Intern AI Applications
Cambium Learning Group is an award-winning educational technology solutions leader dedicated to helping all students reach their potential through individualized and differentiated instruction. Using a research-based, personalized approach, Cambium Learning Group delivers SaaS resources and instructional products that engage students and support teachers in fun, positive, safe and scalable environments. These solutions are provided through Learning A-Z (online differentiated instruction for elementary school reading, writing and science), ExploreLearning (online interactive math and science simulations, a math fact fluency solution, and a K-2 science solution), Voyager Sopris Learning (blended solutions that accelerate struggling learners to achieve in literacy and math and professional development for teachers), and VKidz Learning (online comprehensive homeschool education and programs for literacy and science). We believe that every student has unlimited potential, that teachers matter, and that data, instruction, and practice are the keys to success in the classroom and beyond.
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
- Exceptional problem‑solving skills and eagerness to learn
- Ability to collaborate effectively in a team environment
Nice To Have
- 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
Application Instructions
To apply for this opportunity, simply click on the “Apply” button and submit a cover letter and resume.
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.
Key skills/competency
- Artificial Intelligence
- Software Engineering
- Machine Learning
- Large Language Models
- Generative AI
- Python
- APIs
- Web Development
- Problem-Solving
- Collaboration
Skills & topics
- Software Engineer Intern
- AI Applications
- Artificial Intelligence
- Machine Learning
- Generative AI
- LLMs
- EdTech
- Python
- Internship
- Computer Science
How to get hired
- Tailor your resume: Highlight your postgraduate studies in CS, Data Science, or AI/ML and any project experience with Python, JavaScript/TypeScript, or C#.
- Showcase AI interest: Emphasize your knowledge of Generative AI, LLMs, or intelligent systems in your application and cover letter.
- Demonstrate problem-solving: Prepare to discuss your exceptional problem-solving skills and eagerness to learn during the interview process.
- Highlight collaboration: Provide examples of your ability to collaborate effectively in a team environment, especially in academic or project settings.
- Research Cambium Learning Group: Understand their mission and how AI applications can enhance educational technology.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the work arrangement for the Software Engineer Intern AI Applications role at Cambium Learning Group?
- The Software Engineer Intern AI Applications position at Cambium Learning Group is a fully remote role. Candidates must reside and work within the United States.
- What are the primary technologies used in the Software Engineer Intern AI Applications role?
- This internship focuses on AI Applications, specifically involving Large Language Models (LLMs) and Generative AI. You will also gain exposure to programming languages like Python, JavaScript/TypeScript, or C#, and potentially web development, APIs, and backend systems.
- What educational background is required for the Software Engineer Intern AI Applications internship?
- To be eligible for this internship, you must currently be pursuing a postgraduate degree in Computer Science, Data Science, Software Engineering, AI/ML, or a closely related field.
- What kind of projects will I work on as a Software Engineer Intern AI Applications?
- As an intern, you will assist in developing AI-powered features using LLMs, support AI agent workflows, integrate generative AI into educational platforms, and contribute to the evaluation and testing of AI systems.
- What are the benefits of interning in AI Applications at Cambium Learning Group?
- This internship offers practical experience with modern AI and generative technologies, insights into production-grade AI system design, and understanding of cross-functional team collaboration in an EdTech environment.
- Does Cambium Learning Group have specific requirements for programming languages for this internship?
- While not strictly limited, the internship description mentions experience with at least one programming language such as Python, JavaScript/TypeScript, or C# as a requirement. Proficiency in these would be beneficial.
- How does Cambium Learning Group approach AI development in education?
- Cambium Learning Group uses AI to transform learning by building AI-powered educational assessment systems. They focus on research-based, personalized approaches to help students reach their potential.