F5

The AI Inference Engineer optimizes Large Language Models (LLMs) for inference across diverse environments, focusing on maximizing throughput, minimizing latency, and maintaining model accuracy. This role involves building and maintaining inference engines, optimizing models for specialized hardware, designing auto-scaling architectures, and establishing robust observability frameworks for enterprise-grade reliability.

AI Inference Engineer responsible for optimizing Large Language Models (LLMs) for inference across various environments, focusing on maximizing throughput, minimizing latency, and maintaining accuracy. This role involves building and maintaining inference engines, optimizing for hardware acceleration, designing auto-scaling architectures, and establishing performance monitoring frameworks.

Site Reliability Engineer III for the Unified Demo Framework (UDF) platform team, focusing on launching and managing F5 Guardrails and Redteam product lines. The role involves designing, deploying, and supporting Kubernetes environments for AI workloads, optimizing system performance, and ensuring reliability. Responsibilities include Kubernetes orchestration, observability, automation, and collaboration with product teams.

Site Reliability Engineer (SRE) role focused on designing, deploying, and supporting Kubernetes environments for AI workloads within the Unified Demo Framework (UDF) platform, specifically for F5 Guardrails and Redteam product lines. The role emphasizes operational excellence, automation, observability, and scalability to ensure the reliability and performance of AI features and F5 products.