Ai agent builder job core responsibilitiesagent 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.