Interview Resources is building an AI-powered deep research platform for interview preparation. Instead of generic interview guides, we autonomously research company-specific interview experiences across Reddit, YouTube, LinkedIn, engineering blogs, company websites, Glassdoor, and other public sources, then generate structured preparation reports in minutes.
You'll work across the entire stack: building AI workflows, designing backend services, shipping polished frontend experiences, integrating LLMs and agents, improving research pipelines, and deploying production systems. You'll own features from idea to production rather than just implementing tickets.
We are already profitable with 3k+ paid users.
Our stack currently includes Next.js, React, TypeScript, Node.js, PostgreSQL, Docker, Vercel, AWS, and modern AI tooling. Experience with LangGraph, LangChain, MCP, RAG, vector databases, or AI agents is a strong plus, but curiosity and the ability to learn quickly matter more.
We're looking for someone who:
Has strong full-stack engineering skills. Has built and deployed production applications. Loves working with AI and LLM-powered products. Takes ownership and ships quickly. Has personal projects or open-source work they're proud of.
Expected salary: $30k – $90k (flexible based on experience, impact, and per capita)
Your CV/Resume. Your GitHub profile. One piece of work or project you're most proud of (include links if possible). Please include your expected salary in your application.