
About the role
At Wispr Flow, the team is focused on developing advanced voice interface technology that aims to become a daily tool for a billion users. The company is building core AI system components that enable natural language interaction across various applications and devices, emphasizing reliability, security, and user trust. The environment fosters innovation, testing new ideas quickly, and creating joyful, impactful technology.
The role involves designing and implementing foundational platform primitives such as memory, context management, and tools for AI agent systems. The person will develop infrastructure for model prototyping, training, and evaluation, ensuring these systems are scalable and production-ready. Collaboration across teams to shape architecture and improve user experience is key.
Candidates should have experience in building large-scale backend or distributed systems, with a focus on reliability and performance. They need to be capable of making design decisions that balance latency, privacy, and cost, while also communicating effectively with product and infrastructure teams. The work can be done onsite in San Francisco or remotely, with a focus on creating reusable, general-purpose platform components.
Skills
Locations
- San Francisco, United States
- Remote