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
