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: 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.
• Apply safety guardrails including input/output validation, hallucination mitigation, prompt injection defenses, and policy enforcement.
• Collaborate with Security to ensure secure data handling, RBAC enforcement, and compliance alignment.

Developer Enablement & Technical Support

• Guide and support engineering teams adopting Gemini Code Assist, CLI workflows, and internal AI development platforms.
• Create high-quality technical documentation, internal libraries, and code samples for developer teams.
• Participate in code reviews and provide guidance for AI-enabled applications across F5.

Performance & Scalability

• Optimize inference latency, parallelization, and cost management strategies across agent workflows.
• Implement caching strategies, streaming responses, and batching techniques to improve throughput.
• Conduct performance testing and benchmarking of agents/models across different workloads.

Required Qualifications

• 6+ years of experience in software engineering, with strong experience in distributed systems and backend architecture.
• Deep hands-on coding expertise in Python and at least one of: Go, Java, or TypeScript.
• Hands-on production experience with LLM-based systems, including prompt engineering, tool calling, RAG, embeddings, and agent frameworks.
• Experience with Vertex AI, Gemini APIs, OpenAI APIs, or similar enterprise AI platforms.
• Strong understanding of API design, microservices, and cloud-native architectures (Docker, Kubernetes).
• Experience building or integrating orchestration frameworks (e.g., LangChain, LlamaIndex, custom orchestration layers).
• Familiar…