Note: The job is a remote job and is open to candidates in USA. Cambium Assessment develops educational technology solutions that support individualized and differentiated instruction. The Software Engineer Intern will help build AI-powered educational assessment systems by developing LLM features, supporting AI agent workflows, integrating generative AI into learning platforms, and evaluating AI systems for quality, safety, and performance.
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
Skills
- You must reside and work in the US for this internship position
- 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
- 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 Generative AI, LLMs, or intelligent systems
- Interest in education technology or applied learning sciences
Benefits
- Remote work arrangement for employees residing and working in the US
- Hands-on experience contributing to real AI products
- Learning from experienced engineers at the forefront of EdTech
- Practical experience working with modern AI and generative technologies
- Experience with how production-grade AI systems are designed, tested, and deployed
- Learning best practices for building safe, scalable, and user-focused AI features
Company Overview