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 qualificationslanguage: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:basicpython/jsskills (must know how to parsejsonand handleapi/webhookdata).conceptual understanding ofllmsand a strong intuition forprompt engineering.fast learner:ability to quickly master newagent builder/workflow tools(e.g., coze, n8n) and thrive in a fast-paced environment.