
AI - Internship Program (interns only) - Remote
Department:Software Engineer
Type:REMOTE
Region:USA
Location:United States
Experience:Entry level
Estimated Salary:Not specified
Skills:
SOFTWARE DEVELOPMENTAI TOOLSAGILEGITVERSION CONTROLSDLCMVPTESTINGDEPLOYMENT
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Job Description
Posted on: September 8, 2025
We are offering a fast-paced, 2 week graduate internship program designed for students or career changers looking to gain hands-on experience in software development and learn how AI is reshaping the development lifecycle. This is a practical, sprint-style graduate program where you'll work through the full SDLC—from ideation to delivery—on a micro-project designed to simulate real-world experience.
What You’ll Gain:
- Practical, portfolio-ready experience across the full SDLC
- Exposure to AI tools in software development
- Understanding of agile delivery principles and fast iteration
- A certificate of completion and personalised feedback
- Optional: Letter of recommendation (based on performance)
Time Commitment:
- Duration: 2 weeks
- Estimated Time: 15 hours per week
- Flexible hours, with suggested milestones provided
Compensation:
- This is an unpaid graduated program designed for rapid learning and portfolio-building. The experience is educational and intended to provide a springboard for people willing to learn.
Tasks
What You’ll Do:
- Participate in a rapid software development project, focused on building a functional MVP (Minimum Viable Product)
- Learn and apply key stages of the Software Development Lifecycle:
- Requirements gathering
- Solution design
- Development
- Testing
- Deployment
- Feedback & iteration
- Use AI-assisted tools (e.g. GitHub Copilot, ChatGPT, or similar) to speed up ideation, coding, and documentation
- Collaborate in a simulated team environment using version control (Git), task boards, and daily check-ins
- Present your project outcomes, along with a short write-up of what you learned from each phase of the SDLC
Requirements
Ideal For:
- Students in computer science or related fields
- Career changers exploring software development
- Self-learners seeking structured experience to build a portfolio
- Individuals curious about integrating AI into software workflows
Originally posted on LinkedIn
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