AI Engineer, AI Agents and Platform Integration

Job Description

Please apply here for this position. (Only applications submitted through this link will be processed.)

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.

Qualifications

More Information

Job Type: 2-year Contract

Location: Kent Ridge Campus

Organization: NUS Enterprise

Department : ETP - Administration

Job requisition ID : 30378