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Data & AI Solutions Engineer

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Nieokreślone0Full-time

#479382·Dodano 3 dni temu·1

Źródło: Xebia

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Tech Stack / Keywords

Python SQL Azure AIMicrosoft FabricMicrosoft FoundryCopilot StudioLLMsRAGAPIsGit

Podsumowanie oferty

Develop AI-powered applications and conversational experiences on enterprise data, including agents and copilots for business, commercial, and operational analytics. Build prototypes and solutions with Python, SQL, and APIs, using technologies across the Microsoft AI ecosystem.

Wymagania

Professional experience in Data Engineering, Software Engineering, Cloud Engineering, or a similar technical role.
Strong Python programming and software engineering fundamentals.
Strong SQL skills and experience working with enterprise data systems, APIs, and integrations.
Experience with Azure and/or Microsoft Fabric.
Practical, hands-on experience with Generative AI and Large Language Models (LLMs).
Good understanding of data architecture, structured data, and semantic models.
Experience with Git, DevOps, and scalable software development practices.
Ability to design and prototype AI-powered solutions and translate business needs into technical approaches.
Curiosity about emerging AI technologies and willingness to develop further in the GenAI space.
Good command of English.

Nice to have:

Experience with Azure AI, Microsoft Foundry, Copilot Studio, or Fabric AI capabilities.
Hands-on experience building AI agents, copilots, or conversational analytics solutions.
Knowledge of RAG, grounding, tool/function calling, agent orchestration, or Model Context Protocol (MCP).
Experience working with Power BI semantic models or Databricks.
Experience with AI-generated analytics, visualizations, or natural-language interfaces for data.

Obowiązki

Develop AI-powered applications and conversational experiences on top of enterprise data.
Build and prototype AI agents and copilots for business, commercial, and operational analytics use cases.
Connect Large Language Models (LLMs) with structured enterprise data, semantic models, APIs, and existing systems.
Develop prototypes and solutions using Python, SQL, and APIs, and support the transition of successful concepts into production.
Work with technologies across the Microsoft AI ecosystem, including Azure AI, Microsoft Foundry, Copilot Studio, and Microsoft Fabric.
Implement approaches such as 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 ways of delivering business insights beyond traditional dashboards, including conversational analytics and AI-generated analytical experiences.
Keep up with emerging GenAI technologies and identify opportunities to apply them to real business use cases.

Inne informacje

Work from the European Union region and a valid work permit are required.
Recruitment process: CV review, HR call, interview, client interview, and decision.

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