About the job
Special Notice:
This position is a full-time opportunity with webAI and is not contingent on project awards or funding sources.
About Us:
At webAI, we are pioneering the future of artificial intelligence through innovative distributed processing solutions at the edge. Our vision is to ensure that valuable data and intellectual property remain private while enabling large-scale AI models to run on standard consumer hardware. We are building a secure and scalable end-to-end platform that empowers enterprises with AI tailored to their unique business needs.
About The Role:
We seek a talented Systems Engineer to support our Public Sector initiatives, focusing on creating secure, distributed, and resilient AI infrastructures. Ideal candidates will be well-versed in Peer-to-Peer (P2P) systems. A strong understanding of decentralized and distributed systems is essential, particularly in environments that prioritize trustless interactions. Experience with technologies resembling IPFS or torrents is highly desirable.
Responsibilities:
Utilize backend programming languages to design and implement synchronization and networking systems that facilitate reliable AI operations across diverse environments, including edge devices and isolated government systems, while ensuring optimal performance, reliability, and data privacy.
Develop robust data synchronization frameworks using advanced techniques such as content addressable storage, Merkle trees, CRDTs, and erasure coding.
Lead efforts in performance tuning, debugging, and optimizing distributed software under resource-constrained and intermittently connected conditions.
Implement security-first designs through thorough threat modeling, secure key management, and integration of cryptographic principles and protocols.

