AI Engineer designing and developing AI platforms for Contour Software, focusing on building GenAI systems and advanced LLM orchestration layers. Responsibilities include architecture, system integration, and AI adoption.
About the role
- Principal Software Development Engineer at F5 designing scalable agentic systems and establishing engineering standards for AI workflows. Leading technical integration and empowering teams for AI development with Gemini.
Responsibilities
- 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.
Requirements
- 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.
Benefits
- More details about F5’s benefits can be found at the following link: https://www.f5.com/company/careers/benefits
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