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Senior Software Engineer, Search & AI

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EMP:Technology
Remote (Bulgaria, Ireland
Tiempo Completo
Remoto
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Descripción

<div class="content-intro"><p>Muck Rack is trusted by thousands of organizations around the world to understand how their brands show up across news, social media and AI-generated answers.

</p> <p>Our AI-powered platform connects the entire PR workflow in one place, helping communications teams manage media relationships, understand the conversations shaping their brands, take action and measure their impact.

Combined with analyst-led Media Intelligence and advisory services, Muck Rack turns signals into insights and insights into action.

</p> <p>Founder-controlled and growing  profitably and sustainably, we have the freedom to build forward-thinking products, put our customers first, and offer an inclusive culture that welcomes diverse perspectives.

</p></div><p>We’re looking for a collaborative, self-motivated <strong>Senior Software Engineer, Search & AI</strong> to join our growing team.

</p> <p>As a Senior Software Engineer, you’ll help build and evolve the customer-facing search experiences that help users discover relevant, high-quality content, along with the backend systems that power them.

You’ll work across the stack, with a slight emphasis on frontend development, and collaborate closely with engineers, Product, and Design to deliver intuitive search experiences backed by reliable, scalable search and data systems.

</p> <h2><strong>What You'll Do</strong></h2> <ul> <li>Own and deliver customer-facing search features and workflows across frontend and backend systems, from technical planning through production</li> <li>Build AI-powered product experiences end to end, from the services behind them to the interfaces that make their output useful and trustworthy</li> <li>Build intuitive, responsive user experiences using Vue while contributing to the Python and Django services that power them</li> <li>Design and improve search, indexing, and retrieval systems that support high-quality content discovery across large volumes of data</li> <li>Build and ma.

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