Infra Engineer - AI App Infrastructure

Job not on LinkedIn

July 28

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Logo of Superblocks

Superblocks

SaaS • Enterprise • Artificial Intelligence

Superblocks is a company that provides a low-code platform enhanced with AI capabilities to accelerate the development of internal apps. The platform allows businesses to build and deploy custom enterprise-grade applications rapidly, enabling developers to streamline operations and increase efficiency. Superblocks offers a unified platform that includes features such as drag-and-drop UI templates, Git-based source control, and integration with databases, APIs, and observability tools. It focuses on secure deployment with options for on-premise hosting to ensure data security and compliance. Trusted by thousands of enterprise teams, Superblocks aims to reduce development time and improve business processes through automation and intelligent applications.

11 - 50 employees

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

📋 Description

• You’ll play a key role in designing and developing the core systems that power and manage hundreds of thousands of AI applications. • Architect and operate scalable production systems supporting both multi-tenant cloud and on-premise deployments. • Design and develop a real-time distributed execution engine that powers all AI applications, workflows, and agents. • Build, deploy, and optimize AI agent architecture, guardrails and evals. • Partner with product and customers to define the roadmap and bring new builder and AI experiences to life

🎯 Requirements

• 3+ years of experience managing cloud-based production apps with deep knowledge of containers, VMs, caches, task queues, networking, and OS. • Designed and deployed infrastructure in production at scale with containerized solutions like Docker, Kubernetes (k8s), ECS/EKS, Firecracker etc. • Strong product sense focused on great user experiences and strategic thinking to meet market and customer needs. • Built and operated production AI systems and are familiar with AI inference techniques • Optimized language runtimes and enable cross-language integration (e.g., Go, Python, C), including customizing or building WASM compilers and runtimes. • Experience with machine learning algorithms, platforms, and frameworks like PyTorch and Tensorflow.

🏖️ Benefits

• generous equity package • comprehensive benefits

Apply Now

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