You will develop shared Kotlin Multiplatform modules and integrate user interface code using Compose Multiplatform and SwiftUI. Additionally, you will implement on-device AI frameworks, optimize application performance, and mentor team members through code reviews.
Design and build synchronization and networking systems for secure, reliable AI operations across edge devices and isolated cloud environments, using technologies such as CRDTs, Merkle trees, and content-addressable storage. Optimize distributed software, apply security-first practices, collaborate across engineering teams, and maintain rigorous testing, observability, and validation.
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.
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.
