
webAI
Open Positions at webAI
13 open positions
Lead company-wide application, product, platform, and AI security for decentralized, edge, cloud, and enterprise systems. This highly technical leadership role owns security architecture and outcomes at the intersection of AI, privacy, and distributed computing.
Build secure, resilient peer-to-peer infrastructure that synchronizes and operates AI workloads across edge devices, cloud systems, and restricted environments. This role focuses on decentralized networking, distributed systems, and privacy-preserving data synchronization using Rust and backend systems languages.
Build the core Rust platform powering webAI’s secure, distributed AI products. You’ll own reusable systems capabilities, APIs, SDKs, release automation, and developer experience from architecture through production.
Build and deploy real-time AI and signal-processing systems on embedded hardware for secure, distributed government edge environments. The role combines tactical hardware integration, multimodal data fusion, autonomous systems, and ruggedized field testing.
Build and deploy production-ready AI systems for secure, distributed edge environments using embedded hardware, multimodal sensing, and autonomous field systems. The role combines AI model optimization, signal processing, network architecture, hardware-in-the-loop simulation, and ruggedized field testing.
Build flagship cross-platform mobile experiences using Kotlin Multiplatform, Compose Multiplatform, and SwiftUI. You’ll own shared business logic, native UI, on-device AI integrations, and performance improvements across Android and iOS.
Senior Full Stack Engineer building high-performance web and desktop applications with React, TypeScript, and Tauri. The role emphasizes real-time communication, scalable state and data management, technical leadership, and mentoring.
Lead the development, optimization, and deployment of advanced Large Language Models and Mixture of Experts models for a private, enterprise-focused AI platform. This staff-level role combines hands-on machine learning engineering, model research, technical leadership, and mentoring.
Build high-performance AI software that turns machine learning models into scalable, reliable production systems for edge devices and cloud environments. This role combines low-level systems programming, ML inference, distributed computing, and hardware-aware optimization.
Senior Machine Learning Engineer building production-ready AI systems for secure, distributed, and resource-constrained environments. The role focuses on productionizing models, optimizing inference across cloud and edge hardware, and developing agentic and retrieval-augmented AI systems.
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