The Software Engineer will design and optimize infrastructure for AI training and inference, focusing on distributed systems and performance enhancements.

Develop and optimize a real-time inference engine for multimodal LLMs that manage audio and text inputs effectively, ensuring cross-platform compatibility and low-latency performance.

As a Full Stack Software Engineer at WaveForms AI, you'll build user-friendly UIs, create robust APIs, optimize performance, and collaborate with cross-functional teams to enhance AI engagement applications.

The Research Engineer will manage the lifecycle of AI models, focusing on large-scale data pipelines, model optimization, and collaboration across multimodal systems.