[Learn more about this role here!](https://engineering.recall.ai/) [Recall.ai](http://Recall.ai)’s mission is to make it easy for developers to work with conversation data. Conversations have become the world’s largest dataset. Every year there are more words spoken over phone calls & video conferences than on every webpage on the internet. [Recall.ai](http://Recall.ai) is the foundational infrastructure enabling 400+ companies to tap into this dataset. ### Build Foundational Infrastructure for the World’s Largest Dataset You'll be our seventh engineering hire in our downtown SF office.
This role is in person five days a week. You'll have full ownership over major features, play a huge role in creating the culture of our engineering team, and will work closely with the founders. You will develop high performance real-time code, deploy to large scale infrastructure, and process massive volumes of data. To give you a sense of the problem space you’ll be working in: * We process over **1TB per second** of raw video at peak load * We launched 6 **million+ EC2 instances** in the last month ### Responsibilities * Build the core product, from APIs, to real-time video processing pipelines.
Be independent and own major features through development and deployment. * Operate, scale and extend our extensive video processing infrastructure. You'll be responsible for running your code in production. * Work directly with customers to solve their problems. All team members participate in customer support in order to drive empathy for our users and help us build better products. ### Your Qualifications * 4+ years of software development experience * Deep customer empathy, including the desire to speak with customers and make product decisions * Strong ability to learn new technologies and be productive in unfamiliar domains *
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Recall.ai provides a unified API for meeting bots, enabling developers to access real-time audio, video, and metadata from platforms like Zoom, Google Meet, and Microsoft Teams. The platform handles the complex infrastructure required to build meeting integrations, allowing companies to focus on their core product features.