SF | NY | REMOTE

Who we are

Pixelcut is one of the most popular design tools in the US. Over 30 million small businesses, creators and entrepreneurs use Pixelcut to create content for their business. We build world-class products at the intersection of AI and creativity, making tools like Background Removal and Magic Eraser accessible and easy-to-use for millions of people.

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We’re a team of builders inspired to bring AI-powered creative tools to small businesses around the world. We believe AI will revolutionize all aspects of creativity inside of companies, and we want to make this future a reality today. If you’re excited to build this future, we’d love to talk with you.

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A few other tidbits about us and our culture:

• We are fully remote which means you can work on your schedule.
• We are a diverse team and believe this helps us create the best products for everyone. We encourage applications from all candidates.
• We hire self-motivated experts which allows us to minimize meetings and syncs and lets you do what you do best, which is create and build!

The Role

• As an AI Engineer at Pixelcut, you’ll work across the stack to develop and deploy AI-powered product experiences that redefine how small businesses and creators engage with AI.
• You will design and implement compound AI systems, combining multiple AI models to create powerful, cohesive solutions for new tasks and unique user needs.
• You’ll collaborate closely with our product, design, and engineering teams to transform AI research into seamless, user-friendly product features.
• You will handle everything from data pipeline development and model optimization to API design and production deployment, ensuring high performance and scalability across our platforms.
• This role provides significant ownership, allowing you to explore innovative ways to integrate LLMs and compound AI systems into our tools, empowering millions of users with cutting-edge capabilities.

Who you are

• You’re a versatile AI Engineer with experience building and deploying machine learning models in production.
• You have a deep understanding of LLMs and generative AI techniques, and you’re passionate about combining multiple AI models to create novel, compound systems.