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)