AI Systems Engineer

Stack

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Descrizione

Menlo Security is the leader in Browser Security for human and agentic workforces. Our mission is to enable humans and agents to connect, communicate, and collaborate securely, without compromise. The Menlo Browser Security Platform protects organizations from cyberattacks by stopping threats across the web, documents, and email before they reach the user. With Menlo Agent Runtime Security (MARS), that protection now extends to the AI agents working alongside every employee. Menlo Security is trusted by major global businesses, including Fortune 500 companies and government agencies, to protect their most valuable asset, their data, and is backed by top-tier investors. We are seeking an AI Systems Infrastructure Engineer (IC4) to lead the platform and backend architecture powering our real-time security detection services. In this role, you will build and scale low-latency serving infrastructure for Small Language Models (SLM), Prompt Injection (PI) engines, and Content / Intent Classification platforms running across GPU and cloud clusters. We are looking for a strong systems engineer who understands production backend services, microservices, container management, and high-throughput inference optimization. While you will work closely with ML researchers, your primary focus will be engineering robust backend services, GPU replica scaling, guardrails, and automated evaluation infrastructure. Outcomes & KPIs Key Outcome(s) Owned: Sub-hundred-millisecond SLM and detection serv

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