AI Agent Builder Job Core Responsibilities Agent Construction & Workflow Setup: Use low-code platforms (e.g., Coze, n8n, Dify) to build and debug Chatflows. You will be responsible for setting up the logic branches, slot filling, and task-oriented closed loops. Prompt Engineering & Tuning: Write and refine high-quality System Prompts to control AI behavior, persona, and task accuracy. Continuously optimize prompts based on real-world interaction data. System Integration & Debugging: Support the integration of AI Agents with client systems (CRM, Helpdesk, etc.) via APIs and Webhooks. Use basic coding (Python/JS) to handle data parsing and custom logic nodes. Local Scripting & Voice Strategy: Translate and adapt AI scripts to fit local linguistic nuances. Define voice strategies—including tone, speed, and emphasis, to ensure a natural, human-like voice experience. QA & Daily Operations: Monitor AI performance, identify \"Bad Cases,\" and perform troubleshooting. Conduct pre-launch testing (UAT) to ensure the agent meets quality standards before deployment. Global Collaboration: Communicate with international clients and cross-functional teams (R&D, Sales) to deconstruct requirements and deliver localized solutions. AI Agent Builder Core Qualifications Language: Fluent in English (Spoken & Written). You can confidently lead technical meetings and write high-quality, professional prompts/documentation. Logical Thinking: Strong ability to deconstruct complex business needs into clear, step-by-step logic flows. Technical Foundation: Basic Python/JS skills (must know how to parse JSON and handle API/Webhook data). Conceptual understanding of LLMs and a strong intuition for Prompt Engineering. Fast Learner: Ability to quickly master new Agent Builder/Workflow tools (e.g., Coze, n8n) and thrive in a fast-paced environment.