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

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
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
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
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
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

AI Engineer, AI Agents and Platform Integration