Contractor GenAI Engineer RAG & Automation

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.

• 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.
• 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.

• 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.
• Proficiency in Azure Logic Apps, Azure Functions, and Power Automate for process automation.
• Ability to design and optimize workflows and data pipelines for automation and efficiency.
• Experience managing and processing large datasets securely in the cloud.
• Strong awareness of data protection, security, and compliance frameworks.
• Experience working with Git for source control and team collaboration.
• Advanced Python programming skills.
• Additional technical knowledge in JavaScript, HTML, CSS, and C#.

• Experience with agent frameworks such as PydanticAI or OpenAI Agents SDK.
• Prior exposure to Azure OpenAI services.
• Demonstrated interest in emerging AI automation frameworks and prompt engineering best practices.

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