Why I Built an AI-Powered Job Search Engine for Developers

Описание и применение

Hyre365 использует семантический поиск и анализ CV, чтобы предложить релевантные вакансии разработчикам, устраняя шум и неактуальные объявления.

Задача

Traditional job boards rely on basic keyword matching, leading to irrelevant listings and mismatched seniority levels for developers.

Результат

Hyre365 delivers more relevant job matches by understanding context, actual experience, and true tech stack alignment, reducing noise and phantom listings.

Рабочий процесс

• Parse candidate CV to extract core technical skills, frameworks, databases, and total experience.
• Generate vector embeddings for both developer profiles and job postings.
• Perform semantic vector search to find conceptually aligned matches.
• Apply multi-stage filtering to exclude mismatched seniority, incompatible tech stacks, and duplicate postings.
• Present filtered job listings to the user.
• Aggregate active job feeds from ATS providers to ensure freshness.
• Allow users to refine search with geographic focus and other filters.

Доказательства

Most job boards rely on basic keyword matching. If your resume contains the word "Python" and a job description mentions "Python", the system flags it as a match—regardless of whether you're a Backend Developer or a Data Scientist.

Источник

I use vector embeddings to represent both developer profiles and job postings. This allows the system to find matches based on conceptual fit rather than word-for-word overlaps.

Источник

I aggregate active job feeds directly from ATS providers to minimize expired or phantom postings.

Источник