Design and implement advanced synchronization and networking systems for distributed AI operations across edge and cloud environments. Collaborate with cross-functional teams to ensure secure, reliable, and performant AI infrastructure deployment.
The engineer will deploy and prototype AI models into embedded hardware systems for secure, distributed government edge environments. Responsibilities include designing low-latency communication frameworks, developing data fusion algorithms, and leading field-testing of multi-node prototypes.
Lead the development and optimization of LLMs and Mixture of Experts models to improve performance and efficiency. Collaborate cross-functionally to integrate these models into the platform and mentor junior engineers.
You will collaborate with customers to scope, deploy, and maintain AI solutions while transforming prototype models into scalable production systems. Additionally, you will design agentic workflows and optimize data pipelines across various hardware environments.
