# (30378) AI Engineer, AI Agents and Platform Integration

> NUS Enterprise · Singapore, Singapore · — · Posted 2026-06-09

**Workplace:** on_site

**Department:** AI & Systems (ETP)

## Description

### Role Purpose

The AI Engineer will build AI agents, knowledge retrieval capabilities and platform integrations to support ETP Hub and ETP’s automation roadmap. The role 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 is a hands-on builder role focused on developing, testing and sustaining AI agents, RAG/vector search components, API integrations and reusable automation utilities under the guidance of the AI Engineering Lead. The role will build AI agents, RAG/vector search solutions and platform integrations for ETP Hub and automation workflows.

### Key Responsibilities

**1\. AI Agents and ETP Hub Features**

-   Build and enhance AI agents and AI-enabled features for ETP hub.
-   Support use cases such as document search, summarisation, classification, task assistance and guided workflows.
-   Develop user-facing tools that help staff retrieve information, generate outputs and complete administrative tasks more efficiently.
-   Test and refine AI-enabled features based on user feedback and operational needs.

2\. **RAG, Vector Search and Knowledge Retrieval**

-   Support retrieval-augmented generation workflows using internal documents, datasets and system outputs.
-   Build and maintain embeddings, vector search and knowledge retrieval components.
-   Work with structured and unstructured information including documents, reports, spreadsheets, emails, datasets and system records.
-   Support data preparation, chunking, indexing, retrieval testing and quality checks for knowledge search use cases.

3\. **Platform and Workflow Integration**

-   Build integrations between ETP Hub, workflow tools, data sources and SaaS applications.
-   Develop scripts, API connectors and automation components to support system-to-system workflows.
-   Work with internal users and vendors to test, troubleshoot and refine integrations.
-   Support integration of AI capabilities into existing workflows and operational processes.

4\. **AI-Assisted Development and Reusable Utilities**

-   Use AI coding tools such as Claude Code, Cursor or GitHub Copilot to accelerate development.
-   Build reusable scripts, templates and utilities for data cleanup, reporting support, knowledge retrieval and automation.
-   Provide practical scripts or tools that can be used by internal teams where appropriate.
-   Document prompts, scripts, workflows, APIs, dependencies and support steps clearly.

5\. **Testing, Deployment and Sustainment**

-   Test AI agents, integrations and automation components before deployment.
-   Support troubleshooting, refinements and post-launch enhancements.
-   Monitor issues, performance and user feedback for deployed AI-enabled tools.
-   Maintain clear documentation for handover, support and future enhancement.

Please be informed that only shortlisted candidates will be notified.

## Requirements

-   Degree or diploma in Computer Science, Software Engineering, Data Science, Information Systems, Engineering or a related technical discipline; equivalent practical experience may be considered.
-   Typically 3 to 5 years of hands-on experience in AI engineering, software engineering, 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 such as Claude Code, Cursor, GitHub Copilot or similar tools.
-   Able to work with users to understand workflow pain points and translate them into working technical solutions.
-   Good testing, documentation and troubleshooting discipline.

**Good to Have**

-   Experience with n8n, LangChain, LlamaIndex, FastAPI, Streamlit, Next.js or similar tools.
-   Experience with Google Workspace, Slack, Monday.com, Xero, Workable or other SaaS platforms.
-   Experience building internal knowledge search, chatbot, workflow or reporting tools.
-   Familiarity with local or cloud-based AI infrastructure, vector databases and RAG pipelines.
-   Experience supporting operational, administration, finance, HR, grant or reporting workflows.

Job Type: 2-Year Contract

Location: Kent Ridge Campus

Organization: NUS Enterprise

Department: ETP - Administration

Job requisition ID: 30378

## Apply

[Apply at NUS Enterprise](https://apply.workable.com/nus-enterprise/j/F04615DDF0/apply)

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