مهندس ذكاء اصطناعي أول

Jimmy Technologies

Overview Our client, a Fortune 50 leader in enterprise solutions and innovations, is seeking a Senior AI Engineer with Knowledge Graphs and LLMs skills to join their AI incubator to scout, incubate, and validate internal ideas. This role is part...

آخر فحص في 1 مايو 2026. قد نكسب عمولة عند النقر.

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مهندس ذكاء اصطناعي أول

Jimmy Technologies

تم التحديث 29 minutes ago
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Dubai هجين دوام كامل 📅 قبل 5 أيام

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Overview Our client, a Fortune 50 leader in enterprise solutions and innovations, is seeking a Senior AI Engineer with Knowledge Graphs and LLMs skills to join their AI incubator to scout, incubate, and validate internal ideas. This role is part of a high-impact strategy leveraging Graph Neural Networks (GNNs) and Generative AI to redefine workflows, semantic search, and intelligence for enterprise solutions in Finance, Operations, Supply Chain, Engineering, or Investments. This is a remote-first position with a required overlap of US working hours (2-6 PM CET). Role & Responsibilities As a Senior AI Engineer, you will: Build Agentic Workflows: Implement orchestration, retrieval pipelines, and validator agents using graph-aware tools.Optimize Retrieval: Build hybrid search pipelines (lexical + vector) and integrate vector databases like FAISS, Milvus, or Pinecone.Model Integration: Integrate LLMs (Azure OpenAI, Anthropic) and support domain-specific fine-tuning or adapter models.Scalable Engineering: Develop robust API endpoints and ETL pipelines to support model and agent runtimes.Experiment & Evaluate: Create evaluation suites for reliability, drift detection, and performance optimization. Required Skills & Experience Python Expertise: 3-6+ years of strong Python engineering experience.Core ML & Experimental Design: Strong grounding in machine learning and deep learning fundamentals with the ability to design experiments, evaluate model robustness, and mitigate bias.Graph Intelligence: Depth in Graph Theory, Knowledge Graph modeling, and GNNs.Modern AI Patterns: Hands-on experience with RAG, Agentic frameworks, and Prompt Engineering.Data Engineering: Proficiency in building data pipelines, chunking strategies, and handling large datasets.Cloud & Deployment: Experience with AWS/Azure/GCP and CI/CD workflows.Engineering Discipline: Strong Git discipline, unit testing, and agile pod experience.Excellent problem-solving skills and keen attention to detail.Ability to participate in the discussions and lead the technical discussionsHave a consultancy mindset → always try to find a solution for the clientMake decisions about the solution and design Work Conditions Start Date: ASAPLocation: Remote (99%); must be able to travel freely within Europe for workshops.US Time Zone Overlap: Required (2 PM - 6 PM CET)Rate: 300-340 EUR/MD If you are passionate about AI, Graph-centric AI, Python, and building next-generation agentic workflows, this role with our client offers an exciting opportunity to work on cutting-edge R&D projects!

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