Anything

HQ
San Francisco, California, USA
556 Total Employees
Year Founded: 2021

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Jobs at Anything
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Recently posted jobs

11 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Software
As an Infra Engineer at Anything, you'll design and build a scalable platform for AI agents, optimize performance, and ensure fault-tolerant infrastructure while managing multiple applications and data securely.
11 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Software
The AI Engineer role involves building intelligent systems, solving ambiguous research problems, and shipping innovative solutions in AI applications. Responsibilities include developing models, creating scalable systems, and personalizing AI agents.
11 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Software
As a Content Engineer, you will build projects using Anything's AI agent, focusing on full-stack apps in React and React Native to enhance AI training and marketing efforts.
11 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Software
Design Engineers at Anything will create innovative frontend experiences and interact with AI to enhance app development, ensuring high performance and user engagement.
11 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Software
The role involves driving growth for an AI product by creating engaging content, establishing partnerships, and optimizing marketing channels.
11 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Software
The Founding Designer will lead the design efforts for Anything's AI product, creating intuitive experiences and designs while collaborating with co-founders on innovative projects.
11 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Software
Founding Engineers at Anything develop innovative AI-driven software solutions, focusing on product design, AI technology, and scalable infrastructure. Responsibilities include creating autonomous systems, reliable deployment pipelines, and training AI models while emphasizing speed, ownership, and quality.