flowchart LR
    A["🌐 130+ Careers Pages"] -->|TinyFish API| B["Job Discovery"]
    B --> C["LLM Batch Scorer\n(0–100 fit score)"]
    C -->|score ≥ min| D["📱 Telegram Alert\nTop N matches"]
    C -->|on demand| E["✉️ Cover Letter\n+ Resume Bullets"]
    C --> F["📊 CSV Export"]

Scanning Mistral AI...
  3 new job URLs. Fetching details...
  Scoring jobs...
  Saved 2 jobs from Mistral AI

Scanning HuggingFace...
  5 new job URLs. Fetching details...
  Scoring jobs...
  Saved 3 jobs from HuggingFace

Scanning Stripe...
  No new jobs found
...
Scan complete.
Top 5 sent to Telegram.

Job Hunt — 06 Jun 2026
5 matches found

#1 | Mistral AI | Applied AI Engineer, ML Infrastructure
📍 Paris/London/Marseille, On-site
🔧 Python, LLMs, RAG, AWS, MLOps, DevOps
✅ Role combines applied AI + ML infrastructure in EU, aligns with MLOps/RAG expertise and relocation goal
Score: 85/100  →  https://jobs.lever.co/mistral/...

#2 | HuggingFace | Staff ML Engineer
📍 Remote (EU)
🔧 Python, PyTorch, Transformers, CUDA, MLOps
✅ Open-source ML role matches deep learning and distributed training background
Score: 80/100  →  https://apply.workable.com/huggingface/...

...

Reply "apply to #N" to draft a tailored application.

Every night at 2:30 AM:
  ┌─────────────────────────────────────────────────────────┐
  │  Scans careers pages  →  Scores with LLM  →  Notifies  │
  │       (130+ cos)           (0–100 fit)       (Telegram) │
  └─────────────────────────────────────────────────────────┘

On demand:
  autopilot draft 1  →  tailored resume + cover letter in 60s

Mode 1: Standalone CLI (no Claude Code required)
  pip install autopilot-jobhunt
  autopilot scan / autopilot draft 1 / autopilot export

Mode 2: Claude Code MCP (control via natural language)
  pip install 'autopilot-jobhunt[mcp]'
  claude mcp add autopilot-jobhunt ...
  → "Scan for ML jobs" / "Draft application for job #2"

pip install autopilot-jobhunt        # or: pip install 'autopilot-jobhunt[mcp]' for Claude Code
mkdir my-job-hunt && cd my-job-hunt
autopilot init                       # creates config.json, companies.json, resume/, .env
# Fill in config.json (API keys + your profile) and resume/YOUR_RESUME.md, then:
autopilot scan

git clone https://github.com/tarunlnmiit/autopilot-jobhunt.git
cd autopilot-jobhunt
pip install -e '.'               # standalone CLI
# pip install -e '.[mcp]'       # + Claude Code MCP integration
cp config.example.json config.json && cp .env.example .env
# Fill in your API keys and candidate profile, then:
autopilot scan

git clone https://github.com/tarunlnmiit/autopilot-jobhunt.git
cd autopilot-jobhunt
pip install -e '.[mcp]'

claude mcp add autopilot-jobhunt \
  --env TINYFISH_API_KEY=your_key \
  --env OPENROUTER_API_KEY=your_key \
  --env TELEGRAM_TOKEN=your_token \
  --env TELEGRAM_CHAT_ID=your_chat_id \
  -- python -m job_hunt.mcp_server

{
  "mcpServers": {
    "autopilot-jobhunt": {
      "command": "python",
      "args": ["-m", "job_hunt.mcp_server"],
      "cwd": "/absolute/path/to/autopilot-jobhunt",
      "env": {
        "TINYFISH_API_KEY": "your_key",
        "OPENROUTER_API_KEY": "your_key",
        "TELEGRAM_TOKEN": "your_token",
        "TELEGRAM_CHAT_ID": "your_chat_id"
      }
    }
  }
}

"Scan for ML jobs"
"Draft an application for job #2"
"Export jobs from the last 7 days with score above 70"

{
  "name": "Stripe",
  "careers_url": "https://stripe.com/jobs",
  "search_domain": "stripe.com",
  "location": "Remote / San Francisco, CA",
  "region": "Remote"
}

autopilot-jobhunt/
├── job_hunt/
│   ├── main.py          # CLI entry point
│   ├── scanner.py       # Job discovery + LLM scoring
│   ├── drafter.py       # Resume tailoring + cover letter
│   ├── notifier.py      # Telegram notifications
│   ├── llm_utils.py     # OpenRouter wrapper with fallback
│   ├── tools.py         # Protocol-agnostic tool layer
│   └── mcp_server.py    # MCP server (Claude/AI assistant integration)
├── demo/                # Demo scripts for recording GIF
├── resume/              # Put your resume here (gitignored)
├── state/               # Scan state (gitignored)
├── output/              # Generated applications (gitignored)
├── companies.json       # 130+ target companies
├── config.example.json  # Config template (copy to config.json — gitignored)
└── config.json          # Your config (gitignored — never committed)

"llm_provider": "claude_cli"

pip install 'autopilot-jobhunt[claude]'

"llm_provider": "anthropic",
"anthropic_api_key": "sk-ant-...",
"anthropic_model": "claude-haiku-4-5-20251001"