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WebAI

Modular secure edge AI platform

CRDT Software Engineer - Product

Backend EngineeringConfirmed live in the last 24 hours
Full-timeRemote

About the Job

Requirements

  • Experience with conflict-free replicated data types (CRDTs).
  • Experience with peer-to-peer or decentralized networking frameworks.

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 systems, while upholding performance, reliability, and data privacy.
  • Architect robust data synchronization frameworks using content-addressable storage, Merkle trees, and conflict-free replicated data types.
  • Lead performance tuning, debugging, and optimization of distributed software under resource-constrained and intermittent-connectivity conditions.
  • Ensure security-first design through threat modeling, secure key management, and integration of cryptographic primitives and protocols.
  • Collaborate with MLOps, Infrastructure, and Security teams to deploy and integrate AI components in restricted or air-gapped systems.
  • Contribute to cross-functional architectural design discussions and documentation for internal and external stakeholders.
  • Maintain rigorous testing, observability, and validation practices to ensure system reliability and compliance readiness.

Desired Qualifications

  • Experience developing technology similar to IPFS or torrents is preferred over blockchain-focused experience.
  • Experience with distributed hash tables, content identifiers, gossip protocols, directed acyclic graphs (DAGs), overlay networks, or network address translation (NAT) traversal may be relevant.
  • Rust experience is not required; development will be in Rust, and the employee can learn Rust while working with these systems.

About the Company

WebAI

Modular secure edge AI platform

WebAI provides a modular, secure Deep Learning Platform designed for research, distributed deployment, and enterprise AI, optimized for edge computing with limited connectivity. Clients collect, train, and deploy neural networks autonomously through a subscription-based suite of AI tools, with optional custom model development and deployment support. It differentiates itself with edge-friendly operation, low data requirements, robust security, and a modular architecture that easily integrates with existing systems. Its goal is to make advanced AI accessible to a broad audience while delivering reliable, enterprise-grade solutions for industries like healthcare, finance, and manufacturing.

Company size
51-200
Company stage
Series A
Total funding
$77M
Headquarters
Austin, TX
Founded
2020

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