AI Engineer: Agents, RAG & Workflow Integrations

National University of Singapore; Singapore; On-site; SGD 80,000 - 140,000; Full time

Job summary

National University of Singapore seeks an AI Engineer to build AI agents, knowledge retrieval capabilities and platform integrations to support ETP Hub and automation roadmap. You will develop practical AI-enabled tools that reduce manual work, improve search and retrieval, and connect AI capabilities with ETP’s systems and workflows.

This hands-on role focuses on developing, testing and sustaining AI agents, RAG/vector search components, API integrations and reusable automation utilities under

Qualifications

• Degree or diploma in Computer Science, Software Engineering, Data Science or related technical discipline.
• 3–5 years of hands-on experience in AI engineering, software/data engineering, system integration or automation development.
• Hands-on experience with Python, APIs, scripting, data processing and automation.
• Familiarity with LLMs, AI agents, RAG, embeddings, vector databases or AI workflow tools.
• Able to build practical internal tools, automation scripts and user-facing AI-enabled features.
• Comfortable using AI-assisted coding tools.
• Able to translate workflow pain points into technical solutions.
• Good testing, documentation and troubleshooting discipline.

Responsibilities

• Build AI agents and AI-enabled features for ETP hub and automation workflows.
• Work with RAG/vector search and knowledge retrieval components.
• Develop platform integrations via APIs and automation utilities.
• Create reusable scripts and utilities for data cleanup and reporting.
• Document prompts, scripts, workflows, APIs, dependencies and support steps.

Skills

Python

APIs

Scripting

Data processing

Automation

AI engineering

LLM

Education

Degree in CS / Software Eng

Tools

n8n

LangChain

LlamaIndex

FastAPI

Streamlit

Next.js

Claude Code

Cursor

GitHub Copilot

Job description

National University of Singapore seeks an AI Engineer to build AI agents, knowledge retrieval capabilities and platform integrations to support ETP Hub and automation roadmap. You will develop practical AI-enabled tools that reduce manual work, improve search and retrieval, and connect AI capabilities with ETP’s systems and workflows.

This hands-on role focuses on developing, testing and sustaining AI agents, RAG/vector search components, API integrations and reusable automation utilities under