{"id":2419499,"url":"https://alion.io/job/nusx-ai-engineer-ai-agents-and-platform-integration","title":"AI Engineer, AI Agents and Platform Integration","company":{"id":3801833,"name":"Nusx","domain":"nusx.edu.sg","url":"https://alion.io/company/nusx","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-19T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":47000,"max_usd":121000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Embeddings","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"FastAPI","optional":true},{"name":"Google Workspace","optional":true},{"name":"JavaScript","optional":true},{"name":"LangChain","optional":true},{"name":"LlamaIndex","optional":true},{"name":"Monday.com","optional":true},{"name":"n8n","optional":true},{"name":"Next.js","optional":true},{"name":"React.js","optional":true},{"name":"Slack","optional":true},{"name":"Streamlit","optional":true},{"name":"Xero","optional":true}],"status":"live","first_seen_at":"2026-06-09T00:00:00Z","employer_posted_date":"2026-06-09","last_verified_at":"2026-10-19T06:16:52Z","board_verified":true,"closed_at":null,"days_open":132,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":132},"description":"About Us\nNUSX is where NUS talent, research and ideas meet the people, pathways and resources that can take them further. That includes founder development, research translation, venture creation, industry partnerships and access to capital and global networks. The parts of NUSX do different things, but we share a common ambition: help more NUS talent, research and ideas find a path to use and scale. NUSX was known as NUS Enterprise until September 2026.\nRole Purpose\nThe 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.\nThis 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.\nKey Responsibilities\n1. AI Agents and ETP Hub Features\nBuild and enhance AI agents and AI-enabled features for ETP hub.\nSupport use cases such as document search, summarisation, classification, task assistance and guided workflows.\nDevelop user-facing tools that help staff retrieve information, generate outputs and complete administrative tasks more efficiently.\nTest and refine AI-enabled features based on user feedback and operational needs.\n2. RAG, Vector Search and Knowledge Retrieval\nSupport retrieval-augmented generation workflows using internal documents, datasets and system outputs.\nBuild and maintain embeddings, vector search and knowledge retrieval components.\nWork with structured and unstructured information including documents, reports, spreadsheets, emails, datasets and system records.\nSupport data preparation, chunking, indexing, retrieval testing and quality checks for knowledge search use cases.\n3. Platform and Workflow Integration\nBuild integrations between ETP Hub, workflow tools, data sources and SaaS applications.\nDevelop scripts, API connectors and automation components to support system-to-system workflows.\nWork with internal users and vendors to test, troubleshoot and refine integrations.\nSupport integration of AI capabilities into existing workflows and operational processes.\n4. AI-Assisted Development and Reusable Utilities\nUse AI coding tools such as Claude Code, Cursor or GitHub Copilot to accelerate development.\nBuild reusable scripts, templates and utilities for data cleanup, reporting support, knowledge retrieval and automation.\nProvide practical scripts or tools that can be used by internal teams where appropriate.\nDocument prompts, scripts, workflows, APIs, dependencies and support steps clearly.\n5. Testing, Deployment and Sustainment\nTest AI agents, integrations and automation components before deployment.\nSupport troubleshooting, refinements and post-launch enhancements.\nMonitor issues, performance and user feedback for deployed AI-enabled tools.\nMaintain clear documentation for handover, support and future enhancement.\nPlease be informed that only shortlisted candidates will be notified.\nRequirements\nDegree or diploma in Computer Science, Software Engineering, Data Science, Information Systems, Engineering or a related technical discipline; equivalent practical experience may be considered.\nTypically 3 to 5 years of hands-on experience in AI engineering, software engineering, data engineering, system integration or automation development.\nHands-on experience with Python, APIs, scripting, data processing and automation.\nFamiliarity with LLMs, AI agents, RAG, embeddings, vector databases or AI workflow tools.\nAble to build practical internal tools, automation scripts and user-facing AI-enabled features.\nComfortable using AI-assisted coding tools such as Claude Code, Cursor, GitHub Copilot or similar tools.\nAble to work with users to understand workflow pain points and translate them into working technical solutions.\nGood testing, documentation and troubleshooting discipline.\nGood to Have\nExperience with n8n, LangChain, LlamaIndex, FastAPI, Streamlit, Next.js or similar tools.\nExperience with Google Workspace, Slack, Monday.com, Xero, Workable or other SaaS platforms.\nExperience building internal knowledge search, chatbot, workflow or reporting tools.\nFamiliarity with local or cloud-based AI infrastructure, vector databases and RAG pipelines.\nExperience supporting operational, administration, finance, HR, grant or reporting workflows.\nJob Type: 2-Year Contract\nLocation: Kent Ridge Campus\nOrganization: NUSX\nDepartment: ETP - 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