Senior 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.

Senior AI Software Development Engineer F5 Digital is executing an enterprise-scale Agentic AI transformation to enable secure, observable, and production-grade AI agents across the organization. We are seeking a Senior AI Software Development Engineer to lead the implementation, rollout, and optimization of high-code agent development and orchestration frameworks, as well as enterprise AI integrations, as part of our Gemini rollout and adoption.

This is a highly technical, hands-on engineering role. The Senior Engineer will develop scalable agentic systems, apply robust engineering standards for AI workflows, and support engineering teams across F5 in building production-ready agents using Gemini, Vertex AI, and internal AI platform infrastructure.

The ideal candidate has strong backend and distributed systems experience, solid hands-on familiarity with LLM architectures and agent frameworks, and a proven track record of writing secure, high-performance production code.

Key Responsibilities:

Agentic Architecture & Orchestration

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

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

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

Gemini & Vertex AI Integration

Integrate Gemini models via Vertex AI, ensuring secure, scalable API consumption and robust model routing.

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

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

High-Code Agent Enablement

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

Implement secure integration patterns for agents interacting with Salesforce, Snowflake, SharePoint, ServiceNow, and internal APIs.

Build and maintain MCP (Model Context Protocol) servers and secure API integration gateways.

Observability, Safety & Governance

Build logging, tracing, telemetry, and evaluation pipelines for agent performance and reliability.