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Julian Schmidt
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Part-time

Artificial Intelligence Intern at Part-time

Working on on-premise large language models for secure and reliable translation workflows within the Austrian public sector. Additionally involved in a SAP RAG (Retrieval-Augmented Generation) project, using the MCP platform to enable agentic AI capabilities for internal government applications.

Focus on applied AI, prompt engineering, system integration, and secure infrastructure in the context of public administration.

Part-time

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Dec. 2025— Present

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Vienna, Austria · Hybrid

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www.brz.gv.at (opens in a new tab)

I work on on-premise large language models that power secure and reliable translation workflows for the Austrian public sector. My responsibilities include designing and maintaining prompt pipelines, integrating LLMs with existing government systems, and ensuring deployments meet strict compliance and security requirements.

I contribute to a SAP RAG (Retrieval-Augmented Generation) project that uses the MCP (Model Context Protocol) platform to bring agentic AI capabilities to internal government applications, enabling secure access to enterprise data and workflows.

I focus on applied AI in public administration: prompt engineering, system integration, and secure infrastructure for production LLM workloads. I build and improve on-premise language models used for secure, compliant translation across Austrian government bodies, and I design and maintain the prompt pipelines, API integrations, and deployment infrastructure so that AI systems remain reliable and auditable.

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  • Austrian Federal Computing Centre – Part-time
  • Austrian Society for Artificial Intelligence – Volunteering
  • Austrian Federal Computing Centre – Internship
  • OSSBIG Austria – AI-Assisted Dev Position Paper
  • Bundesrechenzentrum (BRZ) – Internship
  • Franz Stamm GmbH – Railway Automation Engineer
Projects
  • data.gv.at MCP Server
  • Interiorly
  • Synth UI
  • Healthcare Infrastructure Ghana

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  • GitHub
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