Job Description
About the Role
We are looking for a Product Engineer Intern who is eager to learn, build, and ship real product features with our engineering team.
This internship is suitable for students or fresh graduates who want hands-on experience in software development, product thinking, web applications, APIs, databases, debugging, testing, and modern AI-assisted engineering workflows.
You will work with engineers and product managers to understand user problems, clarify requirements, write code, fix bugs, improve internal tools, and learn how software is built and maintained in a real SaaS environment.
This internship is also designed as a potential pathway to a full-time Product Engineer role. We prefer candidates who are open to joining us full-time after the internship, subject to performance, team fit, graduation timeline, and business needs.
What You Will Do
- Assist in developing and maintaining product features.
- Understand product requirements and user problems before writing code.
- Work on backend APIs, frontend interfaces, internal tools, or automation tasks depending on team needs.
- Read and understand existing codebases.
- Debug issues and propose practical fixes.
- Write clean, maintainable, and testable code.
- Participate in code reviews and learn from feedback.
- Help improve documentation, developer workflow, and engineering knowledge sharing.
- Use AI tools responsibly to support development work.
- Learn how to validate AI-generated code instead of blindly accepting it.
- Collaborate with engineers, product managers, designers, and other team members to solve real product problems.
- Think about whether a solution is useful, simple, and maintainable.
AI-Assisted Development
We encourage interns to use AI tools as part of the development workflow.
You may use tools such as:
- Claude
- Claude Code
- OpenAI Codex
- ChatGPT
- GitHub Copilot
- Cursor or similar AI coding tools
You should be willing to learn how to use AI effectively for:
- Understanding unfamiliar code
- Breaking down technical tasks
- Generating draft implementations
- Writing or improving tests
- Debugging errors
- Refactoring code
- Reviewing edge cases
- Documenting technical decisions
- Exploring product flows and possible implementation approaches
However, AI output must always be reviewed, tested, and understood before being used. The goal is not only to generate code faster, but to become a better product engineer who can solve real problems with better judgment.
Bonus Skills
These are not required, but they are a plus:
- Experience with Ruby on Rails, Laravel, Vue, React, Node.js, or similar frameworks.
- Basic SQL knowledge.
- Experience building small side projects, apps, websites, bots, or automation tools.
- Familiarity with GitHub pull requests and code review workflow.
- Experience using Claude Code, OpenAI Codex, Cursor, GitHub Copilot, or similar tools for coding.
- Basic understanding of agentic development, such as giving an AI coding agent a task, reviewing its plan, checking its code changes, running tests, and refining the result.
- Interest in SaaS, e-commerce, payments, inventory, orders, or business software.
- Interest in product management, UX, analytics, or customer problem solving.
What We Expect From You
- You do not need to know everything before joining.
- You should be curious, responsible, and willing to learn quickly.
- You should be able to explain what you built and why.
- You should not submit AI-generated code without understanding it.
- You should be open to feedback and able to improve your work.
- You should care about solving real user and business problems, not only writing code.
- You should show ownership in the tasks assigned to you.
- You should be willing to ask questions when requirements are unclear.
What You Will Learn
- How real software products are designed, developed, tested, and shipped.
- How to understand product requirements and turn them into working software.
- How to work with production codebases.
- How to collaborate with engineers, product managers, designers, and other stakeholders.
- How to debug real issues.
- How to write better code with the support of AI tools.
- How to use AI coding agents safely and effectively.
- How to think like a product engineer in a fast-moving product team.
- How to balance user needs, technical quality, speed, and maintainability.
Full-Time Conversion Opportunity
This internship is designed as a potential pathway to a full-time Product Engineer role.
Interns who demonstrate strong learning ability, ownership, good engineering fundamentals, product thinking, team collaboration, and responsible use of AI tools may be considered for full-time conversion after the internship.
Full-time conversion will depend on performance, team fit, graduation timeline, available role, and business needs.
Internship Duration
Minimum 3 months. A 3 to 6-month internship period is preferred.
How to Apply
Please send us:
- Your resume
- GitHub profile, portfolio, or project links, if available
- A short note about one software project you built or contributed to
- Optional: examples of how you have used AI tools for coding or learning