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Backend Engineer builds and scales APIs, infrastructure, billing, and security for Lightning AI’s AI/ML platform using Go, cloud services, and Kubernetes.
Build and deploy production AI systems for customers by designing end-to-end workflows, integrating AI infrastructure, and collaborating with engineering/product teams using Python, Go, React, and cloud-native tools.
Builds and scales the UI and frontend infrastructure for Lightning AI’s platform using React, Redux, and TypeScript, collaborating with engineering, product, and design teams.
Owns and validates GPU-enabled bare-metal infrastructure for AI/ML workloads, automating provisioning, diagnostics, and system bring-up while ensuring reliability and performance.
Designs, scales, and maintains high-performance storage systems for AI/ML training and inference workloads using distributed storage like VAST and Ceph on bare-metal infrastructure.
Research Engineer at Lightning AI to optimize AI training and inference workloads on PyTorch Lightning infrastructure, improving performance and scalability for production systems.
Build backend infrastructure for AI agent orchestration, workflow management, and tool execution to enable production-ready agentic applications.
Build and scale backend services for Lightning AI’s platform, including APIs, authentication, and multi-tenancy systems, using Go, Python, or Rust.
Build backend systems for AI agent orchestration, distributed training, and experiment management using Go/Python/Rust, enabling scalable AI development workflows.
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Design and build electrical systems for AI-driven defence platforms, including PCB design, power distribution, and integration of sensors and communication interfaces.
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Position Overview We are seeking an experienced IT Project Engineer to join our IT Projects Team. This is a hands-on technical position responsible for implementing technology solutions across a diverse client…
Designs and sells AI infrastructure solutions for high-performance GPU workloads, working with AI labs and enterprises across Northern EMEA while bridging ML training needs with bare-metal infrastructure and MLOps tooling.
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