Software Engineer Intern – AI Applications

This is a fully remote position, open to applicants in United States.

📋 Description

• Assist in the development of AI-driven features utilizing Large Language Models (LLMs)

• Support AI agent workflows, which include prompt design, tool integration, and fundamental orchestration logic

• Contribute to the integration of generative AI functionalities into educational platforms

• Participate in the evaluation and testing of AI systems to ensure quality, safety, and performance

• Collaborate with engineers, product managers, and researchers on practical learning use cases

• Investigate responsible AI practices within a mission-oriented educational context

⛳️ Requirements

• Currently enrolled in a postgraduate program in Computer Science, Data Science, Software Engineering, AI/ML, or a related discipline

• 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

• Genuine interest in Generative AI, LLMs, or intelligent systems

• Strong analytical and problem-solving abilities with a desire to learn

• Capability to collaborate efficiently within a team setting

• Relevant coursework or projects in advanced AI, machine learning, or natural language processing (NLP)

• Exposure to cloud services (AWS, Azure, or GCP)

• Interest in educational technology or applied learning sciences

• Must reside and be eligible to work in the US for this internship role

• Submission of a cover letter and resume is required

🏝️ Benefits

• Practical experience contributing to authentic AI products

• Opportunity to learn from seasoned engineers at the leading edge of EdTech

• Hands-on experience with contemporary AI and generative technologies

• Insight into the design, testing, and deployment of production-grade AI systems

• Exposure to best practices for developing safe, scalable, and user-centric AI features

• Experience collaborating with cross-functional teams on impactful software systems and products