Software Engineer Intern – AI Product Development

Job Description

Software Engineer Intern, AI Venture Studio Projects | Moonveil AI

The Tone:
This is an educational, project-incubation internship at Moonveil AI, welcoming candidates legally authorized to work or train in the U.S. or Canada. Moonveil AI operates as an AI venture studio, dedicated to building and launching end-to-end software projects, including AI-driven products, internal tools, agents, RAG systems, and automation for various customer workflows. This unique role is not about completing assigned tasks but about developing the crucial skill of identifying real problems, building effective solutions, and evaluating their potential for commercialization. While this internship is unpaid, it offers significant mentorship, portfolio-building opportunities, and practical experience in shaping an idea into a tangible product, with the potential for future collaboration or paid roles if a project is validated for commercialization.

The TL;DR
• Role: Internship
• Location: U.S. or Canada
• Mission: Identify real problems, build end-to-end software solutions, and evaluate their potential for commercialization.

What You’ll Actually Do
• Find: Define and discover real problems worth solving within AI, software, or workflow contexts.
• Build: Construct end-to-end software prototypes and products from concept to launch, not isolated toy tasks.
• Collaborate: Work across multiple disciplines including product, engineering, AI workflows, frontend, backend, data, and deployment.
• Discuss: Engage in conversations about product direction, user needs, project constraints, and potential business models.
• Learn: Develop skills in rapid scoping, fast shipping, and effectively evaluating whether a project has real potential.

The Must-Haves
• Background: Student eager to gain hands-on experience in product development, with a strong interest in AI products, intelligent agents, automation, SaaS solutions, internal tools, or workflow software. No specific academic major, school, or degree is required, as the focus is on practical building and problem-solving skills.
• Experience: Demonstrated ability to rapidly build or learn new technologies and concepts, critical for quick prototyping and project iteration. Evidence of this ability through a portfolio, active GitHub contributions, demonstrable prototypes, published writing, or well-articulated project ideas is highly valued over traditional credentials.
• Skills: Exceptional problem-solving instincts, a high degree of curiosity, and strong personal agency to drive projects forward from conception to launch.
• Bonus: Candidates who come with their own project ideas, half-built prototypes, identified customer pain points, or problems they are passionately exploring will find additional mentorship and resources to develop them.