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With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. \nWe specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. \nIn the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. \nYou will be:\ndeveloping AI-powered applications and conversational experiences on top of enterprise data,\n\nbuilding and prototyping AI agents and copilots for business, commercial, and operational analytics use cases,\n\nconnecting Large Language Models (LLMs) with structured enterprise data, semantic models, APIs, and existing systems,\n\ndeveloping prototypes and solutions using Python, SQL, and APIs, and supporting the transition of successful concepts into production,\n\nworking with technologies across the Microsoft AI ecosystem, including Azure AI, Microsoft Foundry, Copilot Studio, and Microsoft Fabric,\n\nimplementing approaches such as RAG, grounding, tool/function calling, and agent orchestration where relevant,\n\nevaluating the quality, reliability, security, and accuracy of AI-generated responses,\n\ncollaborating closely with Data Engineers and BI/Analytics Engineers to leverage governed data products and semantic models,\n\nexploring new ways of delivering business insights beyond traditional dashboards, including conversational analytics and AI-generated analytical experiences,\n\nkeeping up with emerging GenAI technologies and identifying opportunities to apply them to real business use cases.\n\nYour profile:\nprofessional experience in Data Engineering, Software Engineering, Cloud Engineering, or a similar technical role,\n\nstrong Python programming and software engineering fundamentals,\n\nstrong SQL skills and experience working with enterprise data systems, APIs, and integrations,\n\nexperience with Azure and/or Microsoft Fabric,\n\npractical, hands-on experience with Generative AI and Large Language Models (LLMs),\n\ngood understanding of data architecture, structured data, and semantic models,\n\nexperience with Git, DevOps, and 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