Develop methods for optimizing AI applications, implement automated evaluation systems, and work with clients to adapt tools for various domains.

The role involves designing scalable infrastructure, leading technical initiatives, collaborating with research, and enhancing AI reliability tools. A focus on backend systems and modern cloud technology is essential.

As a Full Stack Software Engineer, you will build features for an AI reliability platform, design user-friendly interfaces, and collaborate with research teams to enhance AI application safety.

As a Research Intern, you'll develop safety tooling for LLMs, working with customers, building infrastructure, and enhancing user experience.

The intern will develop a reliability platform focusing on dynamic testing, observability, and optimization for AI applications. Responsibilities include customer collaboration, core infrastructure development, and creating user-friendly tools for developers.