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Jobs(27,163)/Systems Engineer Role(172)/menlosecurity (8) - AI Systems Engineer
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menlosecurity

menlosecurity - AI Systems Engineer

EMEA - U.K.2d ago
In OfficeSeniorEMEACybersecurityCloud ComputingSystems EngineerAI EngineerC++PythonKubernetesGoMLOpsAWSGCPTerraformLinuxvLLMONNXTensorRTTriton

Requirements

• 5+ years of software engineering experience building distributed backend systems or high-throughput microservices. • Proven track record in model serving and inference optimization (e.g., TensorRT, vLLM, ONNX Runtime, Triton Inference Server). • Strong programming experience in Python, Go, or C++. • Hands-on expertise with Kubernetes, container orchestration, GPU scheduling, and infrastructure auto-scaling. • Solid understanding of CI/CD pipelines, MLOps/LLMops principles, and cloud infrastructure (AWS/GCP). • Experience building consumption-based rate limiting or multi-tenant guardrail architectures. • Familiarity with database refactoring, auth protocols, and backend technical debt remediation. • Background in cybersecurity, threat detection engines, or DLP/PII filtering platforms. • Experience benchmarking runtime vs. accuracy trade-offs between local SLMs and cloud LLMs (e.g., Vertex AI). • Experience with AWS, GCP, Terraform, Kubernetes, and Linux.

Responsibilities

• Architect, build, and optimize production serving pipelines for Small Language Models (SLMs) and traditional ML models using model quantization, batching, and GPU acceleration. • Own and scale backend microservices (e.g., sds-service-prompt-injection, sds-service-ddr) delivering real-time threat detection. • Build consumption-based monitoring, tenant rate-limiting, and runtime guardrail infrastructure. • Manage and optimize GPU cluster replicas (Kubernetes / Pod infrastructure) to minimize cold-start times and manage infrastructure costs. • Build continuous evaluation, automated retraining pipelines, model CI/CD, and automated regression gates to test model detection quality against live benchmarks. • Refactor legacy service boundaries, service-to-service auth flows, and backend database configurations.

Benefits

• At Menlo, we don't settle for the status quo — in our technology or our culture. How we think and act is just as important as what we build. Our culture is defined by five core mindsets: Proactive Leadership, Straight Talk, United Impact, Elevated Talent, and Customer-Compelled. We take ownership and drive outcomes without waiting to be told. We communicate directly and seek hard truths. We break down silos and win together. We hold a high bar for ourselves and the people around us. And we treat every customer interaction as mission-critical. If you're someone who sees it, owns it, solves it, and does it — you'll thrive here.

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