Most Loved Workplace® Certified JobSenior Software Engineer, Tech Foundations
Assessed by Most Loved Workplace®About the Role
At Airbnb, a Most Loved Workplace® certified employer in the Travel & Hospitality space, Belong Anywhere: Connect Through Travel, Community, and Trust.
<div class="content-intro"><p><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.</span></p></div><p><strong>The Difference You Will Make:</strong></p>
<p>Our mission is to make every Airbnb engineer's day better by building world-class developer infrastructure that removes friction and provides the tools to unlock their best work. The Dev AI team specifically builds the foundational AI tooling and infrastructure that powers developer productivity across the entire software development lifecycle, also providing the building blocks for teams across Airbnb to quickly and simply create their own domain-specific AI tools. We currently serve as both a platform team and an internal AI consultancy for partner teams building their own internally-facing AI-powered solutions.</p>
<p>In this role, you will help to shape and execute the technical direction of the team's infrastructure and products. You'll work across a range of exciting problem spaces, from agentic coding tools and asynchronous AI workflow platforms, to SDKs for rapid internal AI app development and AI-assisted code migration. At Airbnb, you won't just build AI tools; your work will shape how individuals across Airbnb work every day. The tools you create will directly accelerate the pace of innovation across our entire product surface.</p>
<p>We're a collaborative, low-ego, and highly-visible team that values experimentation, learning, and shipping. We celebrate what works and learn quickly from w
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