About the job
webAI develops distributed AI infrastructure for personalized applications, with a focus on keeping computation close to where data originates. By doing so, the company helps protect sensitive information and intellectual property, allowing large AI models to run directly on consumer hardware without exposing critical data. The platform is designed to be secure and end-to-end, giving users control while meeting business operational needs. Core values at webAI include truth, ownership, tenacity, and humility.
Role overview
The AI Software Engineer role centers on high-performance computing and machine learning inference. The primary focus is to translate theoretical AI models into practical, efficient, and reliable software. This includes managing production environments, optimizing for low latency, maintaining system reliability, and ensuring data integrity throughout the process.
What you will do
- Turn AI model concepts into operational, high-quality software
- Manage and monitor production environments for performance and reliability
- Optimize systems for low-latency inference and robust data handling
- Maintain data integrity and system stability in real-world deployments
Requirements
- Experience in low-level systems programming
- Background in machine learning and practical inference
- Understanding of hardware-aware optimization
- Comfort working onsite at the downtown Austin, TX headquarters
- Alignment with webAI’s values: truth, ownership, tenacity, and humility

