F5
Enterprise · Application delivery & security
Currently tracking 23 active AI roles, up 12% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $124k–$235k (avg $175k).
Enterprise · Application delivery & security
| Title | Stage | AI score |
|---|---|---|
| Senior Site Reliability Engineer, AI Inference 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. | Serve | 8 |
| AI Inference Engineer 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. | Serve |
| 8 |
| Site Reliability Engineer III 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. | Serve | 5 |
| Site Reliability Engineer – UDF 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. | Serve | 5 |
| Cloud Support Engineer (SRE Development) This role is for a Cloud Support Engineer with a focus on Site Reliability Engineering (SRE) within a SaaS environment. The candidate will be responsible for running, supporting, and scaling an AI Security Public SaaS platform, including operating AI inference workloads at scale. Key responsibilities include proactive monitoring, customer-centric incident response, collaboration with development teams, and contributing to building scalable infrastructure for AI inference. | Serve | 5 |
| Cloud Deployment Engineer (AI Security) Customer-facing Cloud Deployment Engineer focused on deploying and optimizing AI Security solutions, including LLM deployment patterns and real-time AI applications, across public cloud environments (AWS, Azure). The role involves advising clients on infrastructure, scaling, and fine-tuning for low-latency performance and cost-efficiency, with a focus on RAG, fine-tuning, and GPU/CPU optimization. | ServeAgent | 5 |