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user-friendly solutions. By working closely with AI educators, researchers, and student innovators, the Software Engineer will develop APIs, frameworks, MCP integrations, and automation that make AI
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recording/mixing consoles, interfaces, and controllers such as, but not limited to, the Neve 88RS; SSL Duality SE; API Legacy Plus and 1608; Avid HDX systems, S3, S6, XMon, MTRX, Artist Control and Artist Mix
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technologies is an added advantage: o Using and/or integrating AI services via APIs (e.g. OpenAI, Anthropic, Google, or similar platforms) o Knowledge of prompt engineering techniques o Conceptual understanding
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(WCAG). Experience with email testing tools (e.g., Litmus) and analytics platforms (e.g., Google Analytics or Microsoft Clariy). Preferred Qualifications Salesforce Marketing Cloud certification(s
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maintain both front-end and back-end components of digital twin applications. Design and implement APIs and data pipelines to facilitate integration between system components. Optimize application
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analyze website performance. Utilize tools such as Google Analytics, Google Search Console, and other web analytics platforms to track, measure, and report on website performance. Identify trends, insights
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functions / lambdas) to engineer the technology infrastructure required by digital product goals. Use expertise to design and configuration AWS or Google systems, develop APIs, scripting of service functions
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project management process for the web development team to ensure criteria and timelines are mapped out and met. Code websites using HTML, CSS, JavaScript, jQuery, PHP, WordPress, GitHub, REST, APIs, and
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infrastructure (e.g., ingestion, storage, access, API). Write clean, modular, well-tested Python code for database automation and processing pipelines. Research Support & Collaboration (30%) Contribute
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applications and tools, such as Java, Python, Jupyter Notebook, HTML, CSS, JavaScript, Git, APIs; Demonstrate knowledge of AWS and Google Colab; and Experience with Unix/Linux environment and high performance