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, Google Cloud, Microsoft Azure), including containerization (Docker), orchestration (Kubernetes), serverless computing, and REST API development. Proficient in Python, with basic experience in machine
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Foundry, Microsoft Fabric, Google Vertex AI, or comparable environments. Experience integrating AI platforms with enterprise applications, APIs, databases, cloud services, and business workflows. Experience
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. * Experience integrating separate systems through their APIs, including moving or synchronizing data between them. * Experience with Google Cloud Platform or a comparable cloud environment. * Experience
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generative AI APIs, prompt design, or AI-assisted development. • Experience integrating separate systems through their APIs, including moving or synchronizing data between them. • Experience with Google Cloud
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, and maintain secure, scalable, and high-performance AI solutions across cloud and hybrid computing environments, including Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP). 3
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. The SCI Institute presents a highly challenging, collaborative work environment that can be deeply rewarding for the right individual. Further information is available at http://www.sci.utah.edu/ . We
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, including WCAG 2.x, accessible HTML, keyboard navigation, semantic markup, color contrast, and accessible forms. Experience working with RESTful APIs, including understanding API structure, endpoints, HTTP
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relational and/or NoSQL databases and API-based integrations Strong: communication skills with the ability to explain technical concepts to both technical and non‑technical audiences analytical and
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-on work). • Demonstrated experience building AI agents, chatbots, or conversational AI systems using modern LLM frameworks. • Hands-on experience with LLM APIs (e.g., OpenAI, Anthropic, Google
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the requirements using components of the MuleSoft Anypoint Platform, including Design Center, Anypoint Studio, Api Manager, Data Weave, Message Queue, and Assets from Anypoint Exchange. Leads the design