job specification

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.