This role is best suited for a Senior-level AI Engineer / Full-Stack Developer who is highly experienced in building AI-powered applications and rapid prototyping using tools like GPT and Claude. The candidate should have strong programming fundamentals, hands-on experience with AI coding tools, and solid knowledge of Web3 concepts such as wallets, on-chain interactions, and DeFi. They should be comfortable working on end-to-end product development, experimenting with AI capabilities, and delivering fast iterations from idea to MVP in a remote, global team environment.

1. How would you quickly prototype an AI-powered application using tools like Cursor, Claude, or ChatGPT?
   I would start by defining the core user flow, then use AI tools to scaffold code, generate APIs, and iterate rapidly. The focus is on shipping a working MVP fast, validating assumptions, and refining based on feedback.

2. How do you decide which model (e.g., GPT vs Claude) to use for a specific task?
   I evaluate based on context length, reasoning ability, latency, and cost. For example, Claude is strong for long-context reasoning, while GPT is often better for structured outputs and tool integrations.

3. What are the main limitations of current large language models, and how do you work around them?
   Key limitations include hallucinations, lack of real-time data, and context constraints. I mitigate these using RAG, tool calling, validation layers, and prompt design.

4. Explain how you would build a simple RAG (Retrieval-Augmented Generation) system.
   I would embed documents into a vector database, retrieve relevant chunks based on user queries, and pass them into the model as context. This improves accuracy and grounding.

5. What is an on-chain AI agent, and how would you design one?
   It’s an AI system that can interact with blockchain smart contracts. I’d design it with a decision engine (LLM), wallet integration, and transaction execution logic with safety checks.

6. How would you integrate an AI assistant with a crypto wallet?
   I’d connect the assistant to wallet APIs, allow it to interpret user intent, and map that to safe transaction calls. Security and permission control are critical.

7. Describe your approach to prompt engineering for reliable outputs.
   I use structured prompts, clear instructions, examples (few-shot), and constraints. Iteration and testing are key to achieving consistency.

8. How do you ensure safety when building AI systems that can execute financial transactions (DeFi)?
   I implement strict validation, simulation before execution, user confirmations, and limit scopes. Never allow direct execution without safeguards.

9. What does “vibe coding” mean to you in practice?
   It means leveraging AI tools to stay in a fast creative flow, minimizing boilerplate work, and focusing on product logic and user experience.

10. How do you stay updated with rapidly evolving AI and Web3 technologies?
    I follow research releases, experiment with new tools, engage with developer communities, and continuously build side projects to test new ideas.

We are a Singapore-based, remote-first Web3 innovation company building cutting-edge products at the intersection of AI Native and Crypto. As an AI Vibe Coding Engineer, you’ll rapidly turn ideas into working prototypes using tools like Cursor, Claude, and ChatGPT, while exploring applications such as on-chain agents, AI wallets, and DeFi copilots. You should have strong hands-on experience building AI apps end-to-end, solid programming fundamentals, and a deep understanding of modern large models and Web3 concepts. This is a full-time remote role offering a competitive salary plus token incentives, with the opportunity to work on frontier technologies alongside a highly technical, fast-moving team.