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Develops production-grade GenAI systems (agent frameworks, RAG pipelines) and integrates LLM models with enterprise systems and Azure cloud, focusing on backend Python, API design, and CI/CD.
Lead a team building AI-powered SaaS features for commercial real-estate tools, designing LLM agents, RAG pipelines, and MCP integrations in a Node.js/Python stack.
Build and maintain full-stack cloud apps using .NET Core, C#, React, and AWS, with exposure to AI-powered features and modern development practices.
Build and lead a GenAI platform and AI agents for healthcare, enabling rapid development and deployment of medical assistant agents that millions of physicians will use.
Build and deploy ML models (churn, pricing, fraud) and LLM-based agents on AWS SageMaker to automate insurance workflows and support data-driven decisions across the business.
Build and ship AI-powered full-stack features in Python and TypeScript/Next.js, turning cutting-edge LLM capabilities into intuitive consumer experiences for millions of users.
Builds AI-powered agents and copilots to embed into Flock Freight’s operational workflows, improving decision-making, automating tasks, and driving measurable business impact by collaborating directly with business teams.
Build and maintain the core AI/ML development platform for UBS RiskLab, working as a full-stack developer with Python, React, and Azure services while collaborating with data scientists and IT teams.
Build production-grade AI agents and retrieval systems using Microsoft Foundry, Azure AI Search, and MCP for enterprise clients in the Middle East and Africa.
Design and deploy enterprise-scale AI systems for banking, integrating LLMs and ML platforms while ensuring regulatory compliance and high availability.
Build production-grade AI systems like copilots, RAG, and agents using LLMs and vector databases, deploying them in enterprise environments.
Design and deploy enterprise AI systems for banking, integrating LLMs and ML platforms with core financial systems while ensuring regulatory compliance and scalability.
Design, train, and deploy AI/ML models and generative AI solutions using cloud-native platforms like GCP Vertex AI, Azure ML, or AWS SageMaker.
Build and deploy production-grade AI systems, including LLM-based applications, RAG pipelines, and agentic workflows, across a large Saudi conglomerate's diverse business units.
Build and deploy AI systems for a Saudi real-estate platform: integrate LLMs, design RAG pipelines, and ship production-ready analytics tools for commercial, retail, and residential portfolios.
Design and implement AI solutions for banking, including RAG apps, AI agents, and analytics using Python, LangChain, and LLMs.
Design and implement AI solutions for banking data using Python, LangChain, LlamaIndex, LLMs, and vector databases to deploy enterprise AI initiatives.
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.
Build and maintain Intel's agentic AI platform, writing production code for UI, APIs, and services that help enterprises deploy AI agents on Intel hardware.
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