Build, iterate, andmaintain LLM-powered applications — including chatbots, document processingpipelines, predictive analytics interfaces, and intelligent search systems
Design and optimise RAG(Retrieval Augmented Generation) pipelines: chunking strategies, embeddingmodel selection, retrieval tuning, and context window management
Develop and refine promptengineering frameworks — maintaining prompt libraries, evaluating promptperformance, and implementing prompt versioning
Fine-tune open-weightmodels (Llama, Mistral) on YCH-specific logistics data to improve domainaccuracy and reduce inference costs
Integrate LLM capabilitiesinto YCH's legacy Java application APIs — building clean abstraction layersthat allow AI features without full system rewrites
Implement LLM evaluationpipelines using automated scoring (faithfulness, relevance, hallucination rate)and human evaluation frameworks
Collaborate with BusinessAnalysts to translate new use case specifications into production AI features
Contribute to internal AIdocumentation, prompt libraries, and reusable component libraries
Job Requirements:
1+ years working or projectexperience on LLM or AI application development
User InterfaceEngineering: Build dynamic, real-time UI components using React and Next.js tohandle AI streaming responses, multi-step agent status indicators, and markdownformatting.
AI BackendOrchestration: Design scalable backend API routes and background event queuesusing Node.js and TypeScript.
Hands-on experience withLLM frameworks: LangChain, LangGraph, LlamaIndex, or equivalent
Understanding of RAGarchitecture, vector databases, and embedding models
Experience consuming LLMAPIs (OpenAI, Azure OpenAI, Vercel AI, Anthropic Claude)
Solid software engineeringfundamentals: version control, testing, code review, documentation
Java development background— ideal for reskilled internal candidates with logistics context
Fine-tuning experience withopen-weight models (Llama, Mistral, Phi)
Knowledge of logisticsdomain: freight documents, customs, route planning is favoured.
Experience with agentic AIframeworks (AutoGen, CrewAI, LangGraph)
Y3 Technologies is a homegrown end-to-end supply chain solutions provider headquartered in Singapore with presence throughout the Asia Pacific. It offers an extensive suite of award-winning, innovative, and next-gen supply chain technology and consulting services to drive positive digital transformation for companies. Its base of MNC global clients and strategic technology partners attests the total commitment of Y3 to fast delivery of effective solutions incorporating state-of-the-art technologies and best practices.
Y3 believes in collaborating with passionate and like-minded talents to enhance and create a better tomorrow. It empowers sharing of ideas and opinions in an open-minded energised environment, with employees constantly encouraged to stay innovative and agile, and explore ways to upgrade and acquire new skills and domain knowledge to not only help them in their line of work, but ultimately improving their career growth.
To stay ahead in a rapidly evolving world, it is essential to improve knowledge sharing, communication, and collaboration around new digital technologies as you take your expertise to the next level. Together, Y3 will reinvent, rethink, reimagine and reinnovate rewarding experiences for you and the Supply Chain ecosystem.