Senior Applied AI Engineer
Core
Build and extend Python-heavy backend services, data systems, and infrastructure layers that connect to GPU-resident compute for real-time causal analytics.
Role type
Senior Software Engineer (Backend/AI Infrastructure)
Builds
Production backend services, APIs, data pipelines, and integration layers connecting compute to customer products
Domain
Applied science, high-performance computing, causal inference, graph neural networks
Deliverable
production ML models | product features | infrastructure
Required skills
Python, backend service development, distributed systems, performance optimization, system design, cross-stack engineering
Preferred skills
GPU/accelerator engineering, high-scale computing, data-intensive applications, causal inference, graph-based systems
Technologies
Python, NVIDIA DGX, NVL72, Spiking Neural Networks, Graph Neural Networks
Responsibilities
Build production backend services and APIs; work across the stack from service code to data pipelines; ship iteratively against customer needs; own reliability and performance of services; contribute to code quality and mentorship
Seniority
Senior, hands-on IC