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Field
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, or Google Cloud Platform (GCP). Familiarity with virtualization technologies. Experience with source control, basic testing, and continuous integration techniques for cloud applications or infrastructure
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workflow projects to understand process requirements and translate them into technical solutions. Work with REST APIs and other integration points to connect K2 with external systems and AI services (e.g
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of nationally-accepted archival standards for description, such as Describing Archives: a Content Standard (DACS). (Required) Knowledge of Airtable, Microsoft Access, and Google Sheets. (Required) Strong project
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working with Web APIs, Web Services, and session management. Analytics and Usability Proven experience with Google Analytics reporting, custom scripting, and data visualization tools. Knowledge of web
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business needs. Advanced knowledge and experience migrating server workloads such as Amazon Web Services (AWS), Azure, or Google Cloud Platform (GCP). Advanced knowledge and support experience with
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enterprise tools (ServiceNow, Salesforce, Oracle, etc.) using approved APIs and tool-calling frameworks. Create lightweight internal SDKs/utilities where needed. RAG & Search Enablement: Configure and optimize
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& Agent Development: Build and maintain LLM-based agents/services that securely call enterprise tools (ServiceNow, Salesforce, Oracle, etc.) using approved APIs and tool-calling frameworks. Create
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; design web scrapers and API pipelines to extend coverage (e.g., technology-adoption series, Google Trends time series); maintain versioned, documented datasets with clear codebooks. Measurement modelling
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. Required Experience Requirements 2 - 4 years of related experience. Required Experience with NodeJS, Angular, and Javascript. Required Experience with cloud platforms, such as Google Cloud Platform
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of professionals. Duties to include: Integrate and utilize AI APIs (e.g., OpenAI, HuggingFace) to perform tasks such as summarization, classification, or generation of content through Python-based automation