Building an Open-Source AI-Assisted International Job Search Platform

A job search platform called JobSearch is being developed to assist individuals in finding employment opportunities abroad. The platform is still in the early stages of development, but it already has some key features in place. JobSearch allows users to search for jobs in various countries, including Germany, and filter results based on factors like visa sponsorship, remote work options, and technology stack requirements.

The long-term goal of the platform is to help users make informed decisions when applying for jobs abroad by providing them with tailored applications, interview preparation materials, and tracking tools. However, the current MVP focuses on establishing a secure foundation for the platform.

The platform is built using a simple technical architecture that consists of a Next.js application, a PostgreSQL database, and an AI provider adapter. The application uses Docker for local development and Docker Compose for managing dependencies. It also incorporates OAuth authentication with PKCE for secure user authentication.

One of the key aspects of the platform is its open-source nature. The project is released under the MIT License, which allows users to understand where their data goes and how the application works. This transparency is especially important for job-search data, which is personal and sensitive.

The planned features for the platform include structured profile fields, public job API integrations, company career page imports, visa sponsorship evidence tracking, job matching algorithms, tailored resumes, job-specific cover letters, interview question practice, application status tracking, and reminders for follow-up dates. The platform also supports AI providers compatible with OpenAI, including the option for local Ollama support.