Data & AI Solutions Engineer

New

XebiaAI and data analytics

Work from the European Union regionContractSenior

Salary140 - 160 PLN per month

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Job Details

Have professional experience in Data Engineering, Software Engineering, Cloud Engineering, or a similar technical role.
Have strong Python programming skills and software engineering fundamentals.
Have strong SQL skills and experience with enterprise data systems, APIs, and integrations.
Have experience with Azure and/or Microsoft Fabric.
Have practical, hands-on experience with Generative AI and Large Language Models (LLMs).
Understand data architecture, structured data, and semantic models.
Have experience with Git, DevOps, and scalable software development practices.
Be able to design and prototype AI-powered solutions and translate business needs into technical approaches.
Have a good command of English.
Work from the European Union region and hold a valid work permit.
Nice to have: experience with Azure AI, Microsoft Foundry, Copilot Studio, or Fabric AI capabilities.
Nice to have: experience building AI agents, copilots, or conversational analytics solutions.
Nice to have: knowledge of RAG, grounding, tool/function calling, agent orchestration, or Model Context Protocol (MCP).
Nice to have: experience with Power BI semantic models or Databricks.

Develop AI-powered applications and conversational experiences on enterprise data.
Build and prototype AI agents and copilots for business, commercial, and operational analytics use cases.
Connect LLMs with structured enterprise data, semantic models, APIs, and existing systems.
Develop prototypes and solutions using Python, SQL, and APIs, and support successful concepts through transition to production.
Work with Microsoft AI ecosystem technologies, including Azure AI, Microsoft Foundry, Copilot Studio, and Microsoft Fabric.
Implement RAG, grounding, tool/function calling, and agent orchestration where relevant.
Evaluate the quality, reliability, security, and accuracy of AI-generated responses.
Collaborate with Data Engineers and BI/Analytics Engineers to leverage governed data products and semantic models.
Explore conversational analytics and AI-generated analytical experiences beyond traditional dashboards.
Keep up with emerging GenAI technologies and identify opportunities for business use cases.

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