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Build and deploy AI agents and GenAI solutions using Azure AI Foundry, OpenAI, and LangChain, focusing on RAG pipelines, copilots, and agentic workflows.
Build and deploy AI-powered applications using LLMs, vector databases, and AI orchestration frameworks like LangChain or Semantic Kernel.
Design and deliver AI-ready data platforms, ML pipelines, and GenAI-specific data flows for clients using cloud ecosystems like AWS, Azure, and GCP.
Design and build AI-ready data platforms and ML pipelines for analytics, GenAI, and RAG systems on AWS/Azure/GCP, ensuring production-grade delivery and MLOps practices.
Build full-stack web apps and integrate AI features using modern stacks (React, Node.js/Python/.NET, SQL/NoSQL) while leveraging AI coding assistants daily.
Build full-stack web apps and integrate AI features using modern stacks, AI coding assistants, and LLM APIs to deliver enterprise solutions.
Build AI-driven automation solutions using Python, Azure, and AI agents to streamline business processes and integrate systems.
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 production-grade AI agents and retrieval systems using Microsoft Foundry, Azure AI Search, and MCP for enterprise clients in the Middle East and Africa.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines and cloud data solutions for manufacturing analytics and AI/ML at a global materials-science company.
Lead hands-on design and build of scalable cloud data pipelines and platforms for manufacturing analytics and AI/ML, using Python, Spark, and AWS.
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.
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 production-ready enterprise AI apps using LLMs, RAG, and AI agents with Python, FastAPI, and cloud platforms to automate workflows and unlock business knowledge.
Builds cloud-native apps on AWS, designs AI agents using LLMs, and automates workflows with Python/.NET and agentic frameworks like LangChain.
Design and build generative AI and LLM-powered solutions for clients, including agent architectures, RAG systems, and cloud-based AI platforms on Azure/AWS/GCP.
Designs and delivers secure, scalable Azure AI solutions for enterprise clients, leading POCs and MVPs with Python/.NET and Azure AI Foundry tools.
Build and maintain the AI Enablement Platform using MCP, TypeScript, Node.js, and GKE to securely integrate AI models with DHL’s API ecosystem and logistics data.
Build and deploy enterprise-grade AI applications using LLMs, RAG, and intelligent agents with full-stack development in React, Python, and FastAPI.
Lead the design and delivery of full-stack applications with embedded AI features, guiding teams to build scalable, secure solutions while integrating generative AI, LLMs and vector databases.
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