Jobber/orchestrator

Job Ops Orchestrator

A unified orchestrator for the job application pipeline. Discovers jobs, scores them for suitability, generates tailored resumes, and provides a UI to manage applications.

Architecture

orchestrator/
├── src/
│   ├── server/           # Express backend
│   │   ├── api/          # REST API routes
│   │   ├── db/           # SQLite + Drizzle ORM
│   │   ├── pipeline/     # Orchestration logic
│   │   ├── repositories/ # Data access layer
│   │   └── services/     # Integrations (crawler, AI, PDF)
│   ├── client/           # React frontend
│   │   ├── api/          # API client
│   │   ├── components/   # UI components
│   │   └── styles/       # CSS design system
│   └── shared/           # Shared types
├── data/                 # SQLite DB + generated PDFs (gitignored)
└── public/               # Static assets

Setup

1. Install dependencies:

   cd orchestrator
   npm install
   

2. Set up environment:

   cp .env.example .env
   # The app is self-configuring. You can add keys via the UI Onboarding.
   

   After the server starts, use the onboarding modal to connect OpenRouter, link your v4.rxresu.me account, and select a template resume.

   OpenRouter is the default LLM provider, but LM Studio, Ollama, OpenAI, and Gemini are also supported.

   Use LLM_API_KEY / llmApiKey to configure providers that require an API key.

3. Initialize database:

   npm run db:migrate
   

4. Start development server:

   npm run dev
   

   This starts:

   • Backend API at http://localhost:3001
   • Frontend at http://localhost:5173

API Endpoints

Jobs

Method	Endpoint	Description
GET	/api/jobs	List all jobs (filter with ?status=ready,discovered)
GET	/api/jobs/:id	Get single job
PATCH	/api/jobs/:id	Update job
POST	/api/jobs/:id/process	Generate resume for job
POST	/api/jobs/:id/apply	Mark as applied
POST	/api/jobs/:id/skip	Mark as skipped

Pipeline

Method	Endpoint	Description
GET	/api/pipeline/status	Get pipeline status
GET	/api/pipeline/runs	Get recent pipeline runs
POST	/api/pipeline/run	Trigger pipeline manually
POST	/api/webhook/trigger	Webhook for n8n (use WEBHOOK_SECRET)

Daily Flow

1. 17:00 - n8n triggers pipeline:

   • Calls POST /api/webhook/trigger
   • Pipeline crawls Gradcracker
   • Scores jobs with AI
   • Generates tailored resumes for top 10

2. You review in the UI:

   • See jobs at http://localhost:5173
   • "Ready" tab shows jobs with generated PDFs
   • Use command bar search (Cmd/Ctrl+K) to quickly find and open jobs
   • Click "View Job" to open application
   • Download PDF and apply manually
   • Click "Mark Applied" to mark application status

n8n Setup

Create a workflow with:

1. Schedule Trigger - Every day at 17:00
2. HTTP Request:
   • Method: POST
   • URL: http://localhost:3001/api/webhook/trigger
   • Headers: Authorization: Bearer YOUR_WEBHOOK_SECRET

Development

# Run just the server
npm run dev:server

# Run just the client
npm run dev:client

# Run the pipeline manually
npm run pipeline:run

# Build for production
npm run build
npm start

Tech Stack

• Backend: Express, TypeScript, Drizzle ORM, SQLite
• Frontend: React, Vite, CSS (custom design system)
• AI: Configurable LLM provider (OpenRouter default; also supports OpenAI/Gemini/LM Studio/Ollama)
• PDF Generation: RxResume v4 API export (configured via Settings)
• Job Crawling: Wraps existing TypeScript Crawlee crawler