Data & AI Intern (Agentic AI)

TL;DR

Data & AI Intern (Agentic AI): Developing AI agents, RAG knowledge bases, and internal automations for data retrieval and operational workflows with an accent on agent integration, API connectivity, and production data systems. Focus on building prototypes, measuring efficiency gains, and expanding agent capabilities through tools such as MCPs, workflow orchestration, and LLM APIs.

Location: Singapore

Company

hirify.global is a fintech company building data and AI capabilities for financial and operational workflows.

What you will do

• Support the development and end-to-end delivery of AI-powered automations for internal engineering and operational processes.
• Design and implement agentic workflows that connect AI agents to internal data sources and APIs.
• Manage RAG knowledge bases, including data ingestion, vectorization, and maintenance of Notion, JIRA, and Slack data.
• Develop dashboards and methods to quantify efficiency gains from deployed AI agents.
• Build internal bots and proof-of-concepts with mentorship from the Data team.

Requirements

• Currently pursuing or recently completed a degree in Computer Science, Software Engineering, or a related technical field.
• Hands-on experimentation with AI-native development tools such as Claude Code, Cursor, Kiro, or similar platforms.
• Understanding of how agent capabilities can be extended through MCPs, skills, or comparable mechanisms.
• Experience with at least one backend language, such as Python, Go, TypeScript, or Ruby.
• Familiarity with Git and clear communication skills.
• Strong interest in learning, automation, and reducing repetitive manual work.

Nice to have

• Experience with workflow orchestration tools such as n8n or LangChain.
• Familiarity with LLM APIs.
• Interest in fintech, crypto, or global money movement.

Culture & Benefits

• Approximately six-month internship within a fast-paced fintech environment.
• Learn alongside data analysts and software engineers.
• Receive mentorship from the Data team while developing production-oriented AI systems.
• Opportunity to experiment with emerging AI tools and build practical internal solutions.