Junior AI Engineer (LLM/ Generative AI)

• 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)