NUS Enterprise
Higher Education
AIEngineer,AIAgentsandPlatformIntegration
“AI Engineer, AI Agents and Platform Integration at NUS Enterprise. Skills: AI agents, RAG, Platform integration, Automation. Build and enhance AI agents and AI-enabled features. Support use cases such as document search, summarisation,”
Industry & Context.
Troubleshooting; Workflow pain points translation
What They're Looking For.
Must Have
Degree or diploma in Computer Science, Software Engineering, Data Science, Information Systems, Engineering or related, 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, Able to build practical internal tools, automation scripts and user-facing AI-enabled features, Able to work with users to understand workflow pain points and translate them into working technical solutions, Good testing, documentation and troubleshooting discipline
Nice 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
What You'll Do.
Build and enhance AI agents and AI-enabled features
Support use cases such as document search
Develop user-facing tools to retrieve information
Test and refine AI-enabled features based on user
Support retrieval-augmented generation workflows using internal documents
Build and maintain embeddings
vector search and knowledge
Work with structured and unstructured information
Support data preparation
retrieval testing and
Build integrations between ETP Hub
API connectors and automation components
Work with internal users and vendors to test
Support integration of AI capabilities into existing workflows
Use AI coding tools to accelerate development
Build reusable scripts
templates and utilities for data
Provide practical scripts or tools for internal teams
dependencies and support
integrations and automation components before
Support troubleshooting
refinements and post-launch enhancements
performance and user feedback for deployed
Maintain clear documentation for handover
How You'll Work.
Team & Collaboration
Work with internal users; Work with vendors
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