Senior Software Engineer – Agentic AI Tools

Jobtailor; California (MO); On-site; USD 150,000 - 230,000; Full time

Job summary

Jobtailor is seeking an experienced AI/ML engineer to lead the development of autonomous AI agents for threat research, security analytics, and scalable demos. You will build agents using Python and TypeScript, integrate LangChain, LangGraph, CrewAI, and LlamaIndex, and collaborate with cross-functional teams to deliver practical outputs for internal and client-facing security narratives.

The role requires 8+ years in AI/ML, deep knowledge of data ingestion, web scraping, MLOps, and

Qualifications

• 8+ years of AI/ML engineering experience, building autonomous AI agents.
• Strong Python expertise and orchestration of AI agents for research and security workflows.
• Hands-on with LangChain, LangGraph, CrewAI, and LlamaIndex.
• Experience with OpenAI, Anthropic, Gemini, NVIDIA model ecosystems.
• Proficient with RAG, prompts, tool calls, embeddings, vector databases, and workflow design.
• Experience with MLflow, Kubeflow, BentoML and related MLOps.
• Ingestion from APIs and web scraping using BeautifulSoup and Scrapy.
• Familiar with F5 products is a nice-to-have.
• Foundational cybersecurity knowledge: MITRE ATT&CK and OWASP.
• Proven ability to deliver AI-driven research tools and scalable automation.
• Strong cross-functional collaboration.

Responsibilities

• Build and implement AI agents that autonomously scrape, ingest, correlate, and analyze data from external and internal sources for threat research.
• Develop agents using Python, TypeScript, and Go when needed, with LangChain, LangGraph, CrewAI, LlamaIndex, APIs, web scraping libraries, and ML frameworks.
• Enhance F5 platforms with AI agents for scalable research, security analysis, and marketing engineering assets.
• Engineer AI-driven tools to detect, analyze, and assess emerging threats across AI security, app security, and related trends.
• Turn research findings into outputs for internal teams and customer-facing security narratives.
• Collaborate with technical marketing teams to improve demos, articles, webinars, and validation use cases.
• Develop AI-powered security and non-security dashboards and web experiences for marketing, demos, testing, and research.
• Build pipelines for AI workload optimization, observability, testing, and automation.
• Support validation and testing of security tools and demo environments to improve repeatability and depth.

Skills

AI/ML Engineering

Python Programming

LangChain Experience

Data Ingestion Using APIs

Cybersecurity Concepts

Tools

LangGraph

CrewAI

LlamaIndex

MLflow

Kubeflow

BentoML

BeautifulSoup

Scrapy

F5 BIG-IP

NGINX App Protect

Job description

• 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