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Python Developer with AI

Europe
freelance
Europe

Role Overview

As a GenAI Engineer, you will design and optimize Retrieval-Augmented Generation (RAG) systems and automation workflows in cloud environments, focusing on integrating large datasets and enhancing business processes. This senior-level role requires collaboration with cross-functional teams to develop scalable AI solutions, ensuring compliance with data protection standards and maintaining system performance.

Perks & Benefits

The position offers full remote flexibility within the European Union, promoting a healthy work-life balance. You will be part of a dynamic team that values innovation and continuous improvement, with opportunities for professional growth in the rapidly evolving field of AI automation. The company culture emphasizes collaboration, creativity, and a commitment to developing secure and efficient solutions.

Full Job Description

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. 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#. Preferred Qualifications 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. Contract Type Engagement Model: B2B / Freelancer Location: Fully Remote (within the European Union)

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