F5 currently has 33 active AI-related job listings. The majority of these roles, 52%, are focused on agents. Engineering is the top hiring function. Over the last 30 days, F5 posted 9 new AI roles, representing a 53% decrease compared to the previous 30-day period.
Currently tracking 20 active AI roles, down 11% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $124k–$235k (avg $175k).
F5 currently has 32 active AI-related roles in our index. The most common open titles are: Software Development Engineer - II (2), Sr. Software Engineer - Agentic AI (2), AI Deployment Engineer, AI Inference Engineer, Business & AI Data Analyst III. Most positions are in Engineering and Product.
F5's active AI hiring is concentrated in: agents (47%), application (22%), serving infrastructure (19%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
F5 is hiring AI talent in: United States (10 roles), India (6 roles), Ireland (4 roles), United Kingdom (2 roles).
Job postings at F5 most frequently reference: llm observability, guardrails, agent orchestration, model serving, inference infra.
In the past 30 days, F5 has posted 12 new AI-related roles. That is a +33% change versus the prior 30 days (9 → 12).
| Title | Stage | AI score |
|---|---|---|
| Principal Engineer – AI Specialist Principal Engineer specializing in AI systems, focusing on designing, deploying, and optimizing advanced AI solutions including GPT-based systems, reinforcement learning, and autonomous agents. The role involves developing intelligent agents, enabling generative AI capabilities, and integrating state-of-the-art AI techniques. It also requires building and optimizing large-scale distributed AI infrastructure, implementing observability systems, and creating frameworks for data ingestion and automated AI workflows. Leadership and mentorship are key components, along with strategic roadmap creation and collaboration with product and engineering teams. | AgentServe | 9 |
| Engineer III - AI Specialist This role focuses on designing, developing, and deploying AI-powered services and agent-driven workflows for F5 products. The engineer will build intelligent agents using GPT models, maintain internal AI systems, and collaborate with various teams for integration. Responsibilities include developing observability tools, optimizing CI/CD pipelines with AI automation, and exploring emerging AI technologies. The role also involves providing technical leadership and defining development lifecycle processes for AI-driven applications. |
| AgentServe |
| 8 |
| Software Development Engineer III - Agentic AI Software Development Engineer III role focused on designing and implementing agentic experiences on F5's Distributed Cloud Platform. The role involves creating reliable, secure, and scalable agentic systems, including user experience, APIs, orchestration, evaluation, safety controls, and operational readiness. It requires a blend of distributed systems engineering and applied AI engineering to deliver production-grade agentic workflows. | Agent | 7 |
| Sr. Software Engineer - Agentic AI Senior Software Engineer to design and implement agentic experiences on F5's Distributed Cloud Platform. This role involves creating reliable, secure, and scalable agentic systems, including user experience, APIs, orchestration, evaluation, safety controls, and operational readiness, blending distributed systems engineering with applied AI engineering for production-grade agentic workflows. | Agent | 7 |
| Senior Software Engineer – AI Security Senior Software Engineer to design, build, and enhance AI-enhanced tooling and intelligent systems for safe, resilient AI workflows, focusing on platforms that embed safe logic, enforce secure behavior, and maintain operational quality using advanced chunking, agent orchestration, and trustworthy code pipelines. | Agent | 7 |
| Software Engineer III – AI Security Software Engineer III role focused on designing and building AI-enhanced tooling and intelligent systems for safe and resilient AI workflows. The role involves creating platforms for embedding safe logic, enforcing secure behavior, and maintaining operational quality using techniques like semantic chunking and agent orchestration. It requires collaboration with product, security, and infrastructure teams to deliver reliable and safe intelligent software. | Agent | 7 |