Software Engineering Intern

Forgepeak Ventures

About the Role

• Forgepeak Ventures is looking for a software engineering intern to help build web applications and applied AI features.
• Pay: $20–$25 per hour
• Schedule: Part-time, 24 hours per week
• Location: In person in the Detroit metropolitan area
• Start date: As soon as mutually agreed

Key Responsibilities

• Build and improve web application features and applied AI workflows.
• Use coding agents as part of development, with human review and testing.
• Investigate bugs, implement fixes, and write tests.
• Use Git, participate in code reviews, and document your work.
• Communicate progress, ask questions, and learn from feedback.

Requirements & Tech Stack

• Programming fundamentals and experience with at least one programming language.
• Familiarity with Git, APIs, and web development.
• Clear communication, curiosity, and reliable follow-through.
• Availability to work 24 hours per week in person in metro Detroit.
• Prior professional software engineering experience is not required.

Applied AI and Coding Agent Experience (Strongly Preferred)

• Experience building an AI-powered application or workflow, such as integrating an LLM API, connecting a model to tools or data, or automating a practical task.
• Experience using coding agents to plan and implement changes, navigate a codebase, investigate bugs, and write tests.
• Ability to review and explain agent-generated code, validate its behavior, and fix mistakes rather than accept output without checking it.
• An understanding of how to evaluate AI outputs and handle unreliable results, sensitive data, and API credentials responsibly.

Qualifications

• Class projects, personal projects, open-source contributions, and internship experience all count.
• Wayne State students and other local candidates are encouraged to apply.

To apply, please submit your resume and, if available, a GitHub profile, portfolio, or demo. Highlight an applied AI project or coding-agent workflow you have used: explain what you built, which tools you used, your own contribution, and how you verified the results.