Mid-Senior AI Engineer - Generative AI
Madar Logistics Platform —
عن الوظيفة
Madar is a leading Saudi digital logistics platform, owned by Elm, transforming transportation management
Madar connects shippers, carriers, and logistics partners through a unified ecosystem that improves visibility,
efficiency, automation, and shipment execution.
The platform enables seamless shipment management, financial integration, real-time tracking, and
operational visibility, helping businesses move freight with greater speed, transparency, and confidence.
Madar is looking for an experienced and hands-on Mid-Senior AI Engineer to design, build, and
productionize AI capabilities across our logistics platform.
The role combines Generative AI, AI agents, Retrieval-Augmented Generation (RAG), intelligent
automation, and applied machine learning to solve real logistics and operational problems.
You will work closely with Product, Engineering, DevOps/Platform, Data, Security, and Operations teams to
take AI solutions from business requirements and prototypes into reliable production services.
The role will also help drive AI adoption across Madar's engineering organization by establishing reusable AI
development patterns, tools, standards, and engineering practices.
The ideal candidate combines strong software engineering fundamentals with hands-on experience building
production-grade AI and LLM applications.
Design and build AI-powered logistics capabilities such as shipment assistants, customer-support assistants,
operational copilots, document intelligence, exception-handling workflows, and intelligent automation.
Contribute to predictive AI use cases such as ETA prediction, anomaly detection, operational risk
identification, and shipment-related forecasting where appropriate.
Translate product, business, and operational requirements into practical and reliable AI solutions Work closely with Product and Engineering teams to move AI capabilities from proof-of-concept to
Design reusable AI components and services that can be consumed across multiple Madar products and
Integrate AI services with Madar's existing Angular, Node.js, API, event-driven, and backend
Design, build, and maintain Retrieval-Augmented Generation pipelines using embeddings, vector
databases, structured data, unstructured documents, and logistics-domain information.
Implement effective document ingestion, chunking, indexing, retrieval, reranking, and
context-management strategies.
Build AI applications using leading LLM platforms such as Claude, OpenAI, Azure OpenAI, Gemini, or
equivalent enterprise AI platforms.
Use AI frameworks such as LangChain, LangGraph, Semantic Kernel, LlamaIndex, or equivalent
frameworks where appropriate.
Design model-agnostic architectures that allow Madar to evaluate and adopt different models based on