AI Product Engineer Intern

We are a fast-growing Stablecoin and Payments Fintech company headquartered in Singapore, on a mission to build the next generation of global payment infrastructure.

Our team brings together talent from leading financial institutions, banks, technology companies, Fintech firms, and AI companies, with operations spanning APAC and global markets.

We are exploring a more hands-on, AI-native approach to product development: turning ideas and requirements directly into interactive interfaces, functional backend prototypes with API integrations, and validated end-to-end workflows. We believe product discussions should be grounded in what actually works, not just documents and presentations.

Here, AI is both a core product capability and an everyday development partner.

You will work closely with our product and engineering teams to understand real business challenges, build AI-powered solutions, validate outcomes, and turn ideas into working products.

1. Build AI Agents: Design and develop AI Agents for core fintech use cases, including due diligence, Anti-Money Laundering (AML), and Know Your Customer (KYC) processes. Enable AI to retrieve information, verify evidence, assess risks, and generate explainable, traceable insights.
2. Prototype & Ship: Leverage AI coding tools to build functional frontend and backend prototypes, integrate APIs, and implement key business logic, user interactions, and exception-handling workflows to support product reviews and engineering delivery.
3. Evaluate & Improve: Develop test datasets and evaluation cases for AI models and Agents. Analyze outputs, execution traces, and failure patterns, and continuously improve accuracy, reliability, cost efficiency
4. Build for Developers: Contribute to API documentation, code examples, and developer Playgrounds. Explore ways to use AI to automatically generate, test, and maintain developer documentation and tools.
5. Ownership & Drive: Proactively identify opportunities to improve business processes and cross-functional collaboration. Develop actionable solutions, coordinate resources across teams, build alignment, and follow through to ensure successful implementation and measurable results.

1. Regularly use AI coding tools such as Claude Code, Codex, and Cursor. Have hands-on project-building experience and be able to explain how you break down tasks, debug code, and validate results.
2. Have a foundation in Python or JavaScript/TypeScript programming. Understand the basic relationships between frontend, backend, APIs, and databases. Be able to run projects locally, integrate APIs, and troubleshoot issues.
3. Understand fundamental concepts such as LLMs, Prompt Engineering, Tool Calling, and RAG. Be able to read technical documentation and apply new capabilities to solve practical problems.
4. Have a strong product mindset and the ability to work backward from user needs and business objectives to define key workflows, business rules, and acceptance criteria.
5. Demonstrate initiative and strong cross-functional communication skills. Be willing to proactively investigate ambiguous requirements, form independent judgments, propose solutions, and drive next steps.
6. Have strong English reading and writing skills, with the ability to access first-hand technical information from international sources and read and write technical documentation in English.

No specific industry background is required. We welcome builders who are eager to develop a deep understanding of the business.

• A portfolio of AI applications, full-stack products, automation tools, or open-source contributions that you can demonstrate, with a clear explanation of the implementation process and trade-offs made during iteration.
• Experience working at a startup, or a track record of independently building, launching, and iterating on a personal product from 0 to 1.
• Hands-on experience with Agents, MCP, RAG, or multi-tool calling, including handling execution failures, retries, and context management.
• Experience evaluating models or Agents, including building test datasets, analyzing errors, comparing approaches, or conducting regression testing.
• Experience integrating APIs or building developer tools, technical documentation, or tutorials.
• A track record of proactively identifying real-world problems and coordinating with others to drive solutions through to implementation.

• Deep exposure to core fintech operations: Participate in building real-world, enterprise-grade AI products and learn how complex business processes can be translated into executable Agent workflows.
• Hands-on experience with cutting-edge AI: Apply advanced models, Agent capabilities, and AI coding tools to real projects, seeing how ideas evolve from prototypes into practical business applications.
• Direct collaboration with product and engineering teams: Take ownership of specific features with team support and experience the entire development lifecycle, from problem definition to delivery and validation.
• Explore AI-native product development: Help shape AI-native product development practices and turn your own experience into reusable tools and workflows for the wider team.

Please submit your resume along with one project or piece of work you are most excited to showcase. This could be your GitHub profile, a product link, a demo video, or a project retrospective.

We want to understand:

• What problem did you solve?
• How did you use AI?
• Which parts did you personally build?
• How did you validate the final results?

Skills

Software Debugging, Ai, Foundations, Front-End Architecture, Troubleshooting, AI Agents, Results analysis, Technical Troubleshooting, Programming tools, Coding, Workflow Management, AI Evaluation, Business Process Improvement, Tooling, AI Content Generation for Script Development, Workflow Solutions