Product Engineer Intern
Not coffee. Not documentation. Real features.
About LogicKrew
LogicKrew is an early-stage, bootstrapped startup building AI-native software products. We're currently building our first product and assembling a small team of engineers who want to gain hands-on startup experience while working on real-world engineering challenges.
This is not a typical internship.
You will work closely with the founder and engineering team, contribute to real product development, receive mentorship, and gain exposure to how software products are designed, built, deployed, and maintained.
Before You Apply
Please do not apply if:
- You are only looking for a certificate
- You want a highly structured corporate internship
- You expect every task to come with detailed instructions
- You are uncomfortable learning new technologies independently
- You rely entirely on AI tools without understanding the underlying concepts
- You are unable to commit consistently for the duration of the internship
We are looking for builders, not task-completers.
What You'll Work On
Depending on the product's needs, you may work on:
- Web, desktop, and mobile applications
- Backend services and APIs
- Databases and integrations
- AI-powered features and workflows
- Infrastructure and deployments
- Monitoring and reliability
- Internal tools and automation systems
What We're Looking For
- Strong programming fundamentals
- Good problem-solving ability
- Ability to learn unfamiliar technologies quickly
- Curiosity and ownership mindset
- Clear communication skills
- Comfortable working independently
- Genuine interest in software and product development
We value: personal projects, open-source contributions, hackathons, and startup experience more than degrees or GPAs.
Internship Structure
- Application screening
- Technical assessment
- Interview discussions
- Onboarding and training
- Weekly sprint planning & scrum calls
- Code reviews and mentorship
- Performance evaluations
AI Usage Policy
AI tools are encouraged. Blindly accepting AI-generated code is not. You are expected to understand generated code, verify outputs, debug issues independently, and explain implementation decisions. The goal is to improve engineering productivity, not replace engineering judgment.
Learning Opportunities
- Full-stack development
- System design fundamentals
- AI-assisted software development
- API design, databases, product thinking
- Startup operations and engineering best practices
Preferred Background
- 2025, 2026, or 2027 graduates/students
- CS or related disciplines (not mandatory)
- Self-taught developers welcome
- Experience with personal projects strongly preferred