- 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
- 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.
Core Competencies
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 Engineering
- Python Programming
- LangChain Experience
- Data Ingestion Using APIs
- Cybersecurity Concepts
ATS Optimization Keywords
Hard Skills
- AI Agent Development
- Machine Learning Frameworks
- Web Scraping Libraries
- Data Correlation and Analysis
- Prompt Engineering
- RAG Architectures
- MLOps Tools
- Automation Pipelines
- Technical Marketing Engineering
- Security Tool Validation
Soft Skills
- Cross-Functional Collaboration
- Communication Skills
Industry Keywords
- Cybersecurity Frameworks
- MITRE ATT&CK
- OWASP
- Threat Research
- Vulnerability Databases
Tools & Technologies
- LangGraph
- CrewAI
- LlamaIndex
- MLflow
- Kubeflow
- BentoML
- BeautifulSoup
- Scrapy
- F5 BIG-IP
- NGINX App Protect