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Designs, builds, and deploys AI solutions for enterprise customers in Saudi Arabia using DataRobot and open-source tools, focusing on GenAI chatbots, RAG, and predictive models with MLOps governance.
Build and deploy production-grade AI systems, including LLM applications, RAG pipelines, and scalable APIs using Python and cloud infrastructure.
Design and implement AI solutions for banking, including RAG apps, AI agents, and analytics using Python, LangChain, and LLMs.
Consulting AI Architect advises utilities and oil & gas clients on AI transformation, shaping strategies, roadmaps, and governance to drive measurable outcomes across the Middle East and Africa.
Consulting AI Architect advises utilities and oil & gas clients on AI transformation, shaping strategies, roadmaps, and solutions to drive measurable outcomes across the Middle East and Africa.
Build and deploy ML and GenAI systems with MLOps and RAG pipelines, turning proof-of-concept AI into governed, auditable production for clients.
Staff AI Software Engineer builds and scales full-stack apps with Java/Spring and React/Next.js, while leading AI initiatives like RAG, agents, and vector DBs, and mentoring engineers.
Staff AI Software Engineer builds and scales full-stack apps with Java/Spring and React/Next.js, while leading AI initiatives, mentoring engineers, and shaping technical standards in a fast-growing startup.
Builds and deploys Python backend services for AI/ML apps, integrating models, APIs, and databases to move prototypes into production.
Lead the architecture and strategy of JLL’s enterprise data platform, consolidating global systems into a unified, scalable data layer to power AI-driven insights and analytics for commercial real estate.
Build end-to-end web apps with .NET Core back-end and Vue/React/Angular front-end, deploy AI features to production, and lead cloud-native projects on Azure or AWS.
Senior engineer builds and deploys LLM-powered agents and RAG systems for clients, owning presales scoping through production deployment with Python and cloud tooling.
Build and deploy production-grade AI systems, including LLMs and RAG pipelines, using Python and cloud AI platforms.
Build and deploy LLM-powered tools for an investment firm, including research assistants and internal agents, while designing scalable AI infrastructure and governance.
Build and improve AI-powered financial research tools using LLM, RAG, vector search, and agentic workflows for a market intelligence platform.
Build and deploy enterprise-grade GenAI and ML applications for asset management workflows, integrating LLMs, RAG, and vector databases with full-stack Python/React systems in a regulated environment.
Build and optimize production-grade LLM systems, integrating commercial APIs and self-hosted models, and implementing RAG pipelines and end-to-end LLM workflows.
Build and deploy enterprise-grade GenAI and ML applications for asset management workflows, including full-stack development, RAG systems, and integration layers.
Build and deploy enterprise-grade LLM applications using RAG, AI Agents, and vector databases like Milvus/Qdrant. Develop Python-based AI workflows and APIs for real-world production use.
Build and deploy enterprise-grade AI applications using LLMs, RAG, and AI agents, optimizing vector databases and knowledge bases for real-world use.
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