The **AI Tech Recruiter** is an agentic AI solution that transforms technical recruitment by automating the end-to-end hiring funnel. Built on **IBM watsonx Orchestrate**, the agent operates as a reasoning engine, interpreting complex job requirements in natural language (e.g., "Find a Senior Python Developer with FastAPI in Brazil"). **Agent Workflow:** 1. **Intelligent Discovery:** The agent invokes a **Custom Skill: Candidate Search** to proactively query active profiles on GitHub, ranking them based on repository quality and stack fit (using the IBM Granite 3.1 8B model). 2. **Engagement:** Upon human approval, the agent sends personalized outreach messages via channels like Telegram. 3. **Agentic Intelligence (MCP):** The agent enters a "Waiting Stage" (managed by the **Model Context Protocol - MCP**), freeing up resources. When the candidate replies, an n8n webhook triggers the callback, and the workflow is **autonomously resumed** from the pause point. 4. **Scheduling:** The agent uses **Native Skills** for Google Calendar and Gmail to check the manager's availability, handle time zone differences, and send a confirmed interview invitation. **Impact:** The project demonstrated a **96\% reduction** in direct hiring logistics costs and a **200\% improvement** in candidate response rates, allowing recruiters to focus solely on strategic decision-making.
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