الملخص
تقدم IC Markets Global خدمات تداول الفوركس وعقود الفروقات ومنصات التداول والاتصال بالأسواق. يتولى مهندس أول لمنصات الذكاء الاصطناعي وعمليات النماذج اللغوية الكبيرة بناء بنية تشغيلية للإنتاج ونشرها وتحسينها وإدارتها في دبي. تشمل المسؤوليات تشغيل النماذج المستضافة ذاتياً وأعباء عمل وحدات معالجة الرسومات، وإدارة خدمات الذكاء الاصطناعي على Kubernetes وAWS EKS، وتعزيز المراقبة والموثوقية ودعم أنظمة RAG وسير عمل الوكلاء. يتطلب الدور خبرة قوية في Python وFastAPI ونشر النماذج اللغوية وتحسين أداء وحدات معالجة الرسومات، إلى جانب مهارات معالجة أعطال بيئات الإنتاج.
نص الإعلان
كما نُشر على icmarkets.com. نقلناه من موقع صاحب العمل ونعرضه بنصّه الأصلي.
IC Markets Global is one of the most renowned Forex CFD provider, offering trading solutions for active day traders and scalpers as well as traders that are new to the forex market. IC Markets Global offers its clients cutting edge trading platforms, low latency connectivity and superior liquidity.
IC Markets Global is revolutionizing online forex trading. Traders are now able to gain access to pricing previously only available to investment banks and high net worth individuals.
Our management team have significant experience in the Forex, CFD and Equity markets in Asia, Europe and North America. It is this experience that has enabled us to select the best possible technology solutions and hand pick some of the best pricing providers available in the market.
About the Role
We are looking for a Senior LLMOps / AI Platform Engineer to build, deploy, optimize, and operate production-grade LLM and Generative AI infrastructure.
The role combines LLM inference, GPU optimization, Kubernetes, cloud infrastructure, observability, RAG, and AI platform engineering.
Key Responsibilities
- Deploy and operate self-hosted LLMs using vLLM, SGLang, Ollama.
- Optimize LLM inference for latency, throughput, concurrency, GPU memory, KV cache, and cost.
- Manage GPU workloads across multiple NVIDIA GPUs.
- Deploy and maintain AI services on Kubernetes / AWS EKS using Docker and Helm.
- Implement LLM reliability mechanisms including health checks, monitoring, automated recovery, and model restart/refresh strategies.
- Implement observability using Langfuse/LangSmith, OpenTelemetry, Prometheus, and Grafana.
- Deploy and optimize RAG systems, embedding models, and vector databases such as Qdrant, Milvus.
- Support AI agents and workflows built with LangChain and LangGraph.
- Build and maintain CI/CD pipelines for AI services and infrastructure.
- Troubleshoot production issues across LLMs, GPUs, Kubernetes, networking, and AI applications.
Required Skills
- Strong Python and FastAPI experience
- vLLM, Hugging Face and self-hosted LLM deployment
- Kubernetes, Docker, Helm and AWS
- NVIDIA GPU inference and performance optimization
- LangChain / LangGraph/LangSmith
- RAG, embeddings and vector databases (Qdrant)
- LLM observability and monitoring
- PostgreSQL / Redis
- GitHub Actions / CI/CD
- Strong production troubleshooting skills