Peer to Peer Systems Engineer

Special Notice:

This position is NOT contingent upon awarding of a project or needing a funding source. This is full-time employment with webAI.

About Us:

At webAI we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business.

About The Role:

We are looking for engineers to support webAI’s Public Sector initiatives focused on secure, distributed, and resilient AI infrastructure. Ultimately for this team we’re looking for a Systems Engineer that knows Rust, or a Systems-ish Engineer that knows P2P very well. This role is more focused on Peer to Peer Engineering work.

Here’s where it’s tricky. We know decentralized systems and distributed systems have a lot of overlap, but they aren’t exactly the same thing. In our opinion decentralized systems have a connotation of trustless environments, and that’s the knowledge we are looking for in this role. Taking it a step further of what would be great to have in this role, is experience developing tech that looks more like IPFS, torrents, etc. than blockchain, but we also know a lot of those concepts overlap too.

Responsibilities:

- Work in backend systems languages to design and implement advanced synchronization and networking systems that enable reliable AI operations across heterogeneous environments, from edge devices to cloud isolated government systems, while upholding the highest standards of performance, reliability, and data privacy.

- Architect robust data synchronization frame...