webAI
Open positions
Staff Platform / Infrastructure Engineer
You will own the platform infrastructure supporting private AI deployments on customer hardware and cloud environments. You will design and implement deployment, orchestration, inference serving, software supply-chain…
Senior DevOps Engineer
You will design, build, and scale secure infrastructure for AI workloads across multi-cloud, hybrid, and edge environments. You will automate infrastructure delivery, operate Kubernetes clusters, develop secure CI/CD…
Forward Deployed Engineer - P2P Networking
You will design, build, and optimize secure distributed synchronization and networking systems for AI operations across edge devices, cloud environments, and isolated government systems. You will develop in Rust,…
CRDT Software Engineer
You will design and implement distributed synchronization and networking systems for AI operations across edge devices, cloud-isolated systems, and restricted environments. You will architect data synchronization…
Junior DevOps Engineer
You will design, build, and scale secure infrastructure for AI workloads across cloud, hybrid, and edge environments. You will automate infrastructure, operate Kubernetes clusters, develop secure CI/CD pipelines,…
Peer to Peer Software Engineer
You will design and implement synchronization and networking systems for reliable AI operations across edge devices and isolated cloud environments. You will architect content-addressable storage frameworks, optimize…
Staff R&D AI Engineer
Lead the development of multimodal AI systems combining computer vision, language understanding, and action learning. Architect Vision-Language-Action models, reinforcement learning systems, and large-scale training…
Senior Machine Learning Engineer
Transform prototype AI models into scalable, efficient, and reliable production systems for secure distributed environments. Design agentic workflows, build retrieval-augmented generation pipelines, optimize models for…
AI Software Engineer
You will optimize machine learning models for efficient use on edge devices and in high-traffic cloud environments. You will deploy models through high-performance APIs, build and maintain scalable inference…