Hired
An AI-powered job application assistant that automates job matching, resume optimization, and interview preparation.
Tech Stack
The Problem
Job seekers spend significant time manually searching, tailoring resumes, and preparing for interviews across multiple platforms.
1.
Low-quality job matching
2.
Manual resume customization
3.
Lack of structured interview preparation
4.
No feedback loop on applications
The Solution
Hired automates the job application lifecycle using AI-driven matching, resume analysis, and interview preparation workflows.
1.
AI-powered job matching based on resume and preferences
2.
Resume analysis and optimization suggestions
3.
Skill gap detection with learning recommendations
4.
Interview preparation using AI-generated questions
5.
Structured application tracking
Architecture
A full-stack Next.js application using server-side APIs, AI pipelines, and a relational database for persistence.
1.
Next.js frontend for UI and routing
2.
API routes for business logic and auth
3.
LLM-based services for analysis and generation
4.
PostgreSQL for users, resumes, and application data
5.
Background tasks for async AI operations
Key Technical Decisions
1.
Used Next.js for both frontend and backend
Simplified deployment, improved DX, and reduced system complexity
2.
Adopted structured AI outputs
Ensured predictable data storage and UI rendering
3.
Chose PostgreSQL over NoSQL
Strong relational data needs and transactional consistency
Challenges & Resolutions
1.
Handling long-running AI tasks without blocking UI
Moved heavy operations to background workflows and returned immediate responses
2.
Maintaining consistent AI responses
Used schema-based prompts and validation
Future Enhancements
1.
Auto-apply functionality with agentic workflows
2.
Real-time job market trend analysis
3.
Personalized career path forecasting
4.
Multi-language resume support