StraitsX is hiring a Data & AI Intern in STX - Engineering — Singapore. The overview below is synthesized from the employer posting on job-boards.eu.greenhouse.io: factual requirements and scope are preserved, but prose is rewritten with editorial context. Verify details and apply via the employer link.
About the Role
Day-to-day scope for the Data & AI Intern as described in the posting:
Are you someone who lets AI do the heavy lifting and loves figuring out how to make that happen? We are looking for an Intern with an Agentic AI mindset and interest in the Data domain to join our team for approximate 6 months.
What You Will Do
- Support Agentic Workflows: Participate in the development of AI-powered automations that streamline internal engineering and operational processes — learning how these systems are designed and shipped end-to-end.
- Data Agent Development & Integration: Support other data team members to design and implement agentic workflows, focusing on connecting AI agents to critical internal data sources and APIs to enable data retrieval and processing for production use cases
- RAG Pipeline Management: Support the full lifecycle of Retrieval-Augmented Generation (RAG) knowledge bases, including data ingestion, vectorization, and maintenance of relevant internal data (such as Notion, JIRA, and Slack logs)
- Impact Quantification: Develop methods and dashboards to track and quantify the efficiency gains from deployed AI agents
- Prototyping: Build internal bots or proof-of-concepts that demonstrate the potential of agentic AI, with mentorship from the Data team.
What We Are Looking For
- Current student or recent graduate: Currently pursuing (or recently completed) a degree in Computer Science, Software Engineering, or a related technical field.
- Agentic AI Curiosity: You have been tinkering with tools such as Claude Code, Cursor, Kiro, or similar AI-native development tools. You don't need to be an expert — but you should be excited about what these tools can do. You should aware how how such tools can have their capabilities expanded (e.g. through MCPs, Skills)
- The "100x" Mindset: You are obsessed with efficiency. You look at a 10-step manual process and immediately think about how to reduce it to one. You believe AI should be doing most of the repetitive work so humans can focus on what matters.
- Language Agnostic: You've tinkered with at least one backend language (e.g., Python, Go, TypeScript, Ruby) and are eager to learn whatever gets the job done.
- Tools: Familiarity with Git for version control.
- Mindset: A "can-do" attitude, a love for trying new AI tools the day they launch, a strong desire to learn, and the ability to communicate your ideas clearly.
- Bonus Points: Experience with workflow orchestration tools (n8n, LangChain, etc.), familiarity with LLM APIs, or an interest in Fintech, Crypto, or how money moves globally.
Build a standout application
For the Data & AI Intern at StraitsX, reviewers look for concise evidence over buzzwords. Mirror the language of the posting sparingly, quantify support or delivery outcomes, and show how you handled ambiguity, time-zone collaboration and user empathy. Keep your resume to impact, keep your cover note to one page, and link to artifacts — tickets resolved, docs shipped, dashboards owned — that prove you can operate in a fast-moving Web3 team. Prepare to discuss a time you turned a confusing user report into a clear fix and how you measure quality in support and operations.
Web3 hiring values reliability: on-time follow-through, clear writing, and a track record of improving runbooks and tooling. Treat the application as a work sample. For interviews, be ready to walk through how you prioritize across time zones, handle a difficult user, and decide when to escalate versus resolve directly. Show how you document decisions so the next teammate benefits.
In a distributed Web3 org, trust builds through written clarity. Use the cover note to demonstrate it.