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F5

Senior Software Engineer – Agentic AI Tools

F5

Innovative Software Engineer III leading AI tools development for cybersecurity at F5. Collaborating across teams to enhance detection and response capabilities in modern security landscapes.

Posted 7/29/2026full-timeSan Jose • California, Washington • 🇺🇸 United StatesSenior💰 $166,100 - $249,100 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in AI/ML engineering, particularly in building and deploying autonomous AI agents for research and security workflows. Proficient in utilizing tools and frameworks such as Python, LangChain, and MLOps technologies to enhance security analysis and technical marketing outputs.

Highest-signal resume keywords
AI/ML EngineeringPython ProgrammingLangChain ExperienceData Ingestion Using APIsCybersecurity Concepts

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI Agent DevelopmentMachine Learning FrameworksWeb Scraping LibrariesData Correlation and AnalysisPrompt EngineeringRAG ArchitecturesMLOps ToolsAutomation PipelinesTechnical Marketing EngineeringSecurity Tool Validation
Soft Skills
Cross-Functional CollaborationCommunication Skills
Tools & Technologies
LangGraphCrewAILlamaIndexMLflowKubeflowBentoMLBeautifulSoupScrapyF5 BIG-IPNGINX App Protect
Industry Keywords
Cybersecurity FrameworksMITRE ATT&CKOWASPThreat ResearchVulnerability Databases

Tech Stack

Tools & technologies
CloudCyber SecurityGoNGINXPythonTypeScript

About the role

Key responsibilities & impact
  • Build and implement AI agents that autonomously scrape, ingest, correlate, and analyze data from external and internal sources to support threat research and broader security use cases.
  • Build agents using Python, TypeScript, and where relevant Go, along with LangChain, LangGraph, CrewAI, LlamaIndex, APIs, web scraping libraries, and ML frameworks for predictive analytics and research workflows.
  • Enhance F5 platform and portfolio integration, including AI Security, BIG-IP, NGINX, and Distributed Cloud, with AI agents and supporting tools for scalable research, security analysis, and technical marketing engineering assets.
  • Engineer AI-driven agents to detect, analyze, and assess emerging threats across AI security, app security, bots, PQC, and related trends.
  • Turn research findings into usable outputs for internal teams and customer-facing security narratives.
  • Partner with technical marketing engineering teams to improve the quality, scale, and effectiveness of demos, technical articles, webinars, presentations, automation, and use case validation.
  • Develop AI-powered security and non-security tools, dashboards, and web experiences for technical marketing, demos, presentations, testing, and research.
  • Build pipelines for AI workload optimization, observability, testing, and automation across research and technical marketing engineering use cases.
  • Support validation and testing of security tools, demo environments, and customer use cases to improve repeatability and technical depth.

Requirements

What you’ll need
  • 8+ years of experience in AI/ML engineering, including recent hands-on work building and deploying agentic AI systems for research, automation, and intelligence generation.
  • Strong expertise in Python and in designing and orchestrating autonomous and multi-step AI agents for research and security workflows.
  • Hands-on experience with LangChain, LangGraph, CrewAI, and LlamaIndex.
  • Working knowledge of OpenAI, Anthropic, Gemini, and NVIDIA model ecosystems.
  • Experience with RAG architectures, prompt engineering, tool calling, embeddings, vector databases, and workflow design for reliable AI agents.
  • Experience with MLflow, Kubeflow, BentoML, and related MLOps and AI deployment tools.
  • Strong expertise in data ingestion using APIs, web scraping, BeautifulSoup, and Scrapy, including pipelines for CVEs, vulnerability databases, threat feeds, blogs, and other external/internal data sources.
  • Familiarity with F5 products such as AI Security, BIG-IP, NGINX App Protect, and Distributed Cloud API Security, or equivalent platforms, is nice to have.
  • Foundational understanding of cybersecurity concepts and frameworks such as MITRE ATT&CK and OWASP.
  • Proven success delivering AI-driven research tools, security and non-security tools, scalable automation, and technical outputs that improve technical marketing engineering assets such as demos, articles, testing workflows, webinars, presentations, and reusable validation tools.
  • Strong cross-functional collaboration skills across engineering, product management, technical marketing engineering, research, and data science teams.

Benefits

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