Job Description

Responsible for full‑stack development and platform engineering of enterprise‑level large language models and AI applications, covering front‑end and back‑end development as well as database design and optimization. Led the end‑to‑end implementation of AI infrastructure and large‑model applications, including model solution design, prompt optimization, knowledge base and RAG system construction and orchestration, and development of AI Agents/MCP Servers. Conducted secondary development and integration of low‑code platforms such as Dify, N8N, Copilot Studio, and the Microsoft Agent Framework to build automated workflows.

Education / 教育背景

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, or a related field.

Experience / 经验

1. Over 5 years of software development and 1–3 years of AI application development experience.

2. Proficient in at least one mainstream programming language such as .NET Core or Python, with solid coding skills and strong engineering mindset.
3. Strong communication and collaboration abilities; capable of independently owning module development as well as working with teams to deliver complex projects.
4. Familiar with the Microsoft technology stack; knowledgeable about the Microsoft Agent Framework and its ecosystem, with an understanding of Semantic Kernel and AutoGen con-cepts such as memory management, prompt engineering, and multi agent collaboration mechanisms.
5. Familiar with RAG technologies, including data vectorization, vector databases, and retrieval strategies.
6. Proficient in Function Calling / MCP (Model Context Protocol), able to integrate large models with external APIs, databases, and tools, with hands on implementation experience.
7. Experienced with Dify, N8N, and Microsoft Copilot Studio for usage and secondary development; capable of building AI workflows and understanding core logic of low‑code AI platforms.
8. Familiar with Azure AI Search, with experience in building enterprise knowledge bases, implementing AI retrieval, and developing MCP servers for integrating large models with external tools or systems.
9. Experienced in designing AI Agents, including defining agent roles and planning collaboration workflows based on business scenarios to solve real business problems.

Other skills / 其他技能

 Communication and Collaboration Skills

• Able to communicate efficiently with product, business, and operations teams, understand requirements, and translate them into technical solutions.
• Experienced in cross‑department collaboration and capable of driving projects to successful implementation.

Project Management Skills

• Familiar with Scrum agile development and able to participate in or lead architecture‑related project planning.
• Capable of risk identification and problem‑solving, maintaining both progress and quality in complex projects.

Documentation and Presentation Skills

• Able to write clear technical documents and architecture design specifications.
• Strong presentation skills, able to clearly articulate solutions during technical reviews or reporting sessions.

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