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.
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.
Build reference implementations and reusable frameworks for high-code agents in Java, Python, Go, or TypeScript.
Implement logging, tracing, telemetry, and evaluation pipelines for agent performance and reliability.
Support engineering teams adopting Gemini Code Assist, CLI workflows, and internal AI development platforms.

10+ years of experience in software engineering, with significant experience in distributed systems and backend architecture.
Deep hands-on coding expertise in Python and at least one of: Go, Java, or TypeScript.
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, Kubernetes, and cloud-native architectures.
Experience building or integrating orchestration frameworks (e.g., LangChain, LlamaIndex, custom orchestration layers).
Familiarity with vector databases, embedding pipelines, and retrieval strategies.
Strong understanding of authentication, authorization, and enterprise security patterns.
Proven ability to build reusable platforms, not point solutions.

More details about F5’s benefits can be found at the following link: https://www.f5.com/company/careers/benefits

Principal AI Engineer

Key skills