Job Hunter - AI Career Platform
Full-stack AI platform for job hunting. Semantic search, fit scoring, automated applications.
Role & Context
Role
Founder & Product / Systems Designer
Organization
Chaos Systematic Inc.
Scope
End-to-end AI-assisted job search platform, from data model to UX and automation.
One-liner
Human-in-the-loop career platform that treats job search like a product funnel, not a spreadsheet.
The Challenge
Job hunting is manual and time-consuming. Candidates spend hours per application, struggle to match skills to roles, and have no visibility into what's working.
What I Did
Strategic Decisions
- Chose LangChain + vector search architecture for semantic job matching
- Selected model tiers (thinking vs fast processing) for different tasks
- Designed evaluation frameworks to measure AI output quality
- Balanced automation with user control via step-by-step flows
Core Features Built
- Multi-source aggregation: Scrapes 10+ sources (LinkedIn, Glassdoor, Indeed, Greenhouse)
- Semantic search: Vector embeddings for natural language job matching
- Fit scoring: Explainable 0-100% compatibility scores with multi-factor analysis
- Material generation: Personalized cover letters and CV variants
- Pipeline management: CRM-style tracking (Queued → Applied → Interview → Offer)
Human-in-the-Loop Design
- Built review and editing interfaces for AI-generated content
- Designed explainable outputs so users understand recommendations
- Created step-by-step flows (search, evaluate fit, generate materials)
Key Results
- Reduced application time from hours to minutes
- Provides actionable insights (salary, skills, gaps)
- Supports multiple countries with visa-aware filtering
- Full end-to-end AI product from strategy to implementation
Tech Stack
Backend: Python, FastAPI, PostgreSQL, OpenAI, LangChain Frontend: Next.js, React, Tailwind CSS