北京爱知之星科技股份有限公司
AI Agent Engineer (Forward Deployed / Applied AI)
Skills
TypescriptPythonJavaAICustomer SupportJavascript
2 months ago
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Important information
Contract type:
Permanent
Salary:
HK$240,000 – HK$360,000 / year
Location:
Hong Kong
Work mode:
Onsite
Published on:
7 September 2026
What they need
What You'll Do
- Build and debug AI Agents in TRAE, owning Prompt design, workflow orchestration, knowledge base integration, Tool Calling, and API connectivity end-to-end.
- Turn project-level Prompts, workflows, and scripts into reusable Skills, templates, and operational guidelines for the wider team.
- Stay current on Claude, ChatGPT, and other frontier LLMs — track capability differences, pricing, and limits across providers.
- Help the team unblock on LLM usage, API integration, Prompt performance, rate-limit handling, and cost optimisation.
- Design test cases, evaluate Agent output quality, and drive continuous improvement.
- Work with business users to gather requirements, write technical documentation, and deliver training materials.
What We're Looking For
- Degree in Computer Science, Software Engineering, AI, or a related field; 3–5 years of experience in software development or AI applications.
- Have independently delivered at least one LLM or AI Agent project from start to finish.
- Strong in Python, plus working knowledge of at least one of JavaScript / TypeScript / Java.
- Hands-on experience with Prompt Engineering, RAG, Tool Calling, and knowledge base systems.
- Daily user of AI coding tools such as TRAE, Claude Code, or Cursor.
- Real-world experience with at least two frontier LLMs (e.g., Claude, ChatGPT, Gemini).
- Solid API integration and troubleshooting skills; comfortable reading English technical docs.
- Clear communicator who can partner effectively with non-technical stakeholders.
Nice to Have
- Experience with TRAE custom Agents, Rules, Skills, or MCP servers.
- Hands-on with the Claude API and Claude Code.
- Familiar with platforms or frameworks such as Dify, Coze, or LangChain.
- Delivered projects in enterprise knowledge base, intelligent customer support, or office automation (OA).
- Background as an FDE, Solutions Engineer, Technical Support, or Implementation Consultant.
- Portfolio of public AI Agent demos, open-source projects, or technical writing (blog / papers / talks).
What We Offer
- Work on real, shipped AI products — not just POCs.
- Direct exposure to frontier models (Claude, GPT-class) and the latest agent tooling.
- Flat, high-ownership team with fast iteration cycles.
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