Artificial Intelligence Engineer

We are looking for a "Builder"-not a researcher. You will work directly with our Business Development team to translate client needs into functional Proof of Concepts (PoCs). Your goal is to build impressive, working demos at lightning speed using the latest AI tools.

This is a pure Applied AI role. We don't need you to train models from scratch; we need you to masterfully orchestrate existing LLMs and tools to solve real business problems.

Responsibilities:

• Rapid Prototyping: Build functional web-based AI demos from "zero to one" within days (or hours) to support client pitches.
• AI Stack Integration: Utilize Claude Code Agent, Google Gemini, and OpenAI APIs to implement features like RAG, document analysis, and automated workflows.
• Full-Stack Lite: Use Python and Streamlit to create clean, interactive, and client-ready user interfaces.
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• The "Cursor" User: You are a heavy user of AI coding assistants (e.g., Cursor, Claude Code, GitHub Copilot). You know how to leverage them to code 10x faster.
• Python Proficiency: You are comfortable writing clean, modular Python code.
• Streamlit Wizard: You can spin up a UI in Streamlit blindly. (Experience with Gradio/Chainlit is also fine).
• API Experience: You are familiar with calling REST APIs and handling JSON data.
• Problem Solver: You can take a vague requirement from a BD (e.g., "Analyze this report") and turn it into a technical solution.
• Proficient in Chinese Mandarin as you will also work with team in Asia

• Access to SOTA Tools: Unlimited access to the latest paid APIs (Claude 3.5 Sonnet, Gemini 1.5 Pro, GPT-4o) and tools. We pay for the tech; you build the magic.
• Real-world Portfolio: The demos you build aren't toy projects-they address real client needs. You will leave this internship with a solid portfolio of "Applied AI" projects to show future employers.
• High Visibility: You won't be hidden in a back office. Your work will be directly seen by clients and business leaders, giving you deep insight into how AI is actually landing in the industry.
• Prime office location with skyline view
• Networking opportunities in the AI ecosystem

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