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Position: GenAI Engineer RAG & Automation (B2B / Freelancer Contract) Location: Remote open to candidates based in the European Union (EU) Role Overview We are looking for an experienced GenAI Engineer to design, build, and optimize Retrieval-Augmented Generation (RAG) systems and automation workflows in cloud-based environments. The ideal candidate will combine strong technical expertise in Azure , LLM integration , and workflow automation with a passion for developing scalable and secure AI-driven solutions that enhance business processes. Key Responsibilities Develop and implement RAG (Retrieval-Augmented Generation) solutions, integrating diverse data sources into vector databases. Design, develop, and optimize APIs to ensure system scalability and performance. Build and maintain intelligent automation and chatbot solutions using Microsoft Copilot Studio (formerly Power Virtual Agents). Connect and process large data volumes , ensuring full adherence to data protection , security , and compliance standards in cloud environments. Develop and integrate multi-channel chatbots across Microsoft Teams, web applications, and other platforms. Automate business processes with Azure Logic Apps , Azure Functions , and Power Automate . Design and optimize workflows to streamline data flows and repetitive tasks. Collaborate closely with cross-functional teams to continuously improve systems architecture and data pipelines . Use Git for version control, documentation, and collaborative development. Required Skills & Experience Proven experience in the productive deployment of LLMs (Large Language Models) and their integration into enterprise-scale systems. Solid expertise with Microsoft Azure technologies and their use in Generative AI (GenAI) projects. Strong experience in API development and data integration . Proficiency in Microsoft Copilot Studio for automation and workflow optimization. Hands-on experience building and integrating chatbots in multi-channel environments.