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F5

Senior AI Engineer

F5

Designing AI orchestration frameworks and ensuring secure API integration for enterprise applications. Leading high-code agent development and establishing engineering standards at F5 in a hybrid role.

Posted 5/19/2026full-timeSan Jose • California • 🇺🇸 United StatesSenior💰 $176,800 - $265,200 per yearWebsite

Tech Stack

Tools & technologies
CloudDistributed SystemsGoJavaKubernetesMicroservicesPythonServiceNowTypeScript

About the role

Key responsibilities & impact
  • 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.
  • Optimize prompt engineering, token efficiency, grounding strategies, and structured output patterns.
  • Build reference implementations and reusable frameworks for high-code agents in Java, Python, Go, or TypeScript.
  • Establish secure integration patterns for agents interacting with Salesforce, Snowflake, SharePoint, ServiceNow, and internal APIs.
  • Drive best practices for MCP (Model Context Protocol) server development and secure API mediation.
  • Implement logging, tracing, telemetry, and evaluation pipelines for agent performance and reliability.
  • Establish guardrails including input/output validation, hallucination mitigation, prompt injection defenses, and policy enforcement.
  • Partner with Security to ensure secure data handling, RBAC enforcement, and compliance alignment.
  • Support engineering teams adopting Gemini Code Assist, CLI workflows, and internal AI development platforms.
  • Create technical documentation, internal libraries, and code samples for no-code, low-code, and pro-code agent builders.

Requirements

What you’ll need
  • 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

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
PythonGoJavaTypeScriptprompt engineeringAPI designmicroservicesKubernetescloud-native architectureorchestration frameworks
Soft Skills
leadershipcollaborationtechnical documentationproblem-solvingcommunication