Senior Software Engineer – Agentic AI Tools

F5 F5 · Enterprise · San Jose, CA +1

Seeking an experienced Software Engineer III to build and deploy AI agents and tools for threat research and technical marketing in the cybersecurity domain. The role involves integrating various data sources, developing autonomous agents using Python and AI frameworks, and creating AI-powered security and non-security tools.

What you'd actually do

  1. 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.
  2. 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.
  3. Engineer AI-driven agents to detect, analyze, and assess emerging threats across AI security, app security, bots, PQC, and related trends.
  4. Develop AI-powered security and non-security tools, dashboards, and web experiences for technical marketing, demos, presentations, testing, and research.
  5. Build pipelines for AI workload optimization, observability, testing, and automation across research and technical marketing engineering use cases.

Skills

Required

  • 8+ years of experience in AI/ML engineering
  • Hands-on experience building and deploying agentic AI systems
  • Strong expertise in Python
  • Designing and orchestrating autonomous and multi-step AI agents
  • Hands-on experience with LangChain, LangGraph, CrewAI, and LlamaIndex
  • Experience with RAG architectures
  • Prompt engineering
  • Tool calling
  • Embeddings
  • Vector databases
  • Workflow design for reliable AI agents
  • Experience with data ingestion using APIs, web scraping, BeautifulSoup, and Scrapy
  • Experience with MLflow, Kubeflow, BentoML, and related MLOps and AI deployment tools

Nice to have

  • TypeScript
  • Go
  • OpenAI, Anthropic, Gemini, and NVIDIA model ecosystems
  • F5 products such as AI Security, BIG-IP, NGINX App Protect, and Distributed Cloud API Security, or equivalent platforms
  • Foundational understanding of cybersecurity concepts and frameworks such as MITRE ATT&CK and OWASP

What the JD emphasized

  • agentic AI tool building
  • AI agents
  • Python
  • LangChain
  • LangGraph
  • CrewAI
  • LlamaIndex
  • agentic AI systems
  • AI agents
  • RAG architectures
  • tool calling
  • AI-driven research tools
  • security and non-security tools

Other signals

  • AI agents
  • threat research
  • security tools
  • technical marketing