Principal AI Software Development Engineer - ffive

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.

Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.

Job Description: Principal AI Software Development Engineer

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Role Summary

F5 Digital is building an enterprise-scale Agentic AI platform to enable secure, observable, and production-grade AI agents across the organization. We are seeking a Principal AI Software Development Engineer to serve as the technical authority and hands-on architect for high-code agent development, orchestration frameworks, and enterprise AI integration during the Gemini rollout.

This is a deeply technical individual contributor role. The Principal Engineer will design and implement scalable agentic systems, establish engineering standards for AI workflows, and enable engineering teams to build production-ready agents using Gemini, Vertex AI, and internal AI infrastructure.

The ideal candidate has strong distributed systems expertise, deep familiarity with LLM architectures and agent frameworks, and the ability to translate AI theory into secure, production-grade implementations.

Key Responsibilities:

Agentic Architecture & Orchestration

Design and implement enterprise-grade agent orchestration frameworks supporting tool use, memory, RAG, agentic workflows and automation.

Establish patterns for multi-agent collaboration, event-driven execution, and workflow chaining across enterprise systems.

Define standards for agent lifecycle management, state persistence, and context engineering.

Gemini & Vertex AI Integration

Lead technical integration of Gemini models via Vertex AI, ensuring secure, scalable API consumption and proper model routing.

Develop internal SDKs, abstractions, and reusable components to standardize Gemini usage across F5 teams.

Optimize prompt engineering, token efficiency, grounding strategies, and structured output patterns.

High-Code Agent Enablement

Build reference implementations and reusable frameworks for high-code agents in Java, Python, Go, or TypeScript.