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
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Develop and implement RAG (Retrieval-Augmented Generation) solutions, integrating diverse data sources into vector databases.
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Design, develop, and optimize APIs to ensure system scalability and performance.
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Build and maintain intelligent automation and chatbot solutions using Microsoft Copilot Studio (formerly Power Virtual Agents).
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Connect and process large data volumes, ensuring full adherence to data protection, security, and compliance standards in cloud environments.
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Develop and integrate multi-channel chatbots across Microsoft Teams, web applications, and other platforms.
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Automate business processes with Azure Logic Apps, Azure Functions, and Power Automate.
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Design and optimize workflows to streamline data flows and repetitive tasks.
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Collaborate closely with cross-functional teams to continuously improve systems architecture and data pipelines.
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Use Git for version control, documentation, and collaborative development.
Required Skills & Experience
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Proven experience in the productive deployment of LLMs (Large Language Models) and their integration into enterprise-scale systems.
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Solid expertise with Microsoft Azure technologies and their use in Generative AI (GenAI) projects.
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Strong experience in API development and data integration.
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Proficiency in Microsoft Copilot Studio for automation and workflow optimization.
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Hands-on experience building and integrating chatbots in multi-channel environments.
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Proficiency in Azure Logic Apps, Azure Functions, and Power Automate for process automation.
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Ability to design and optimize workflows and data pipelines for automation and efficiency.
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Experience managing and processing large datasets securely in the cloud.
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Strong awareness of data protection, security, and compliance frameworks.
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Experience working with Git for source control and team collaboration.
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Advanced Python programming skills.
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Additional technical knowledge in JavaScript, HTML, CSS, and C#.
Preferred Qualifications
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Experience with agent frameworks such as PydanticAI or OpenAI Agents SDK.
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Prior exposure to Azure OpenAI services.
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Demonstrated interest in emerging AI automation frameworks and prompt engineering best practices.
Contract Type
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Engagement Model: B2B / Freelancer
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Location: Fully Remote (within the European Union)
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