Senior Agentic Security Automation Engineer

NowSecure•,

9d•$120,000 - $160,000•Remote

About The Position

NowSecure is seeking a Senior Agentic Security Automation Engineer who is passionate about technical challenges, enjoys building systems from the ground up, and possesses a deep curiosity about software analysis. The primary focus of this role is not manual security assessments, but rather designing agentic workflows, constructing automation frameworks, integrating security tools (including those developed by their renowned research team), creating evaluation systems, and building the infrastructure for autonomous analysis of various applications (computer, phone, IoT). The goal is to transform security testing from a human-dependent activity into a technology-driven capability that enhances scale, test coverage, issue identification, and continuous improvement. The initial mission is to boost the speed and effectiveness of the offensive security team in a repeatable manner, with significant opportunities to shape the future direction of the role.

Requirements

Coding experience in Python, JavaScript, or TypeScript. Ability to write clean, production-quality code and reliably pick up new technologies.
A security background. An offensive security background (penetration testing, application security, security consulting, or research) is ideal, but a solid security background of any kind will serve you well here.
Curiosity and aptitude for AI. Hands-on experience building with LLMs (Claude, GPT, Gemini, or similar), agentic frameworks, or Retrieval-Augmented Generation (RAG) is a real advantage, but the ability and drive to learn it fast matters just as much.
U.S. citizenship. This role supports U.S. government work and requires U.S. citizenship.

Nice To Haves

Demonstrable experience building agentic workflows with LangGraph, Semantic Kernel, AutoGen, the OpenAI Agents SDK, or similar, including multi-agent systems and autonomous execution pipelines.
Experience integrating telemetry from multiple security tools (e.g., Zscaler, iVerify, Omnissa) into a unified analysis engine or detection pipeline, and correlating those signals to proactively surface attempted or successful attacks.
Production experience with tool/function calling, structured outputs, prompt engineering, context management, and evaluation frameworks.
Experience with Java, Go, or additional languages.
Production engineering and MLOps: scalable APIs and services, Docker/Kubernetes, CI/CD, observability, and one of AWS, Azure, or GCP.
Mobile or desktop application security testing experience.
Reverse engineering experience.
Experience building MCP servers.
Experience training or fine-tuning machine learning models.
A track record of building custom security tools.
Contributions to open-source security or AI projects.
Experience supporting both commercial and U.S. government customers.
Published security research, presentations, or conference talks.

Responsibilities

Architect, build, and deploy advanced AI agents capable of autonomous reasoning, decision-making, and security analysis.
Design and implement multi-step agentic workflows that replicate and scale expert security testing methodologies.
Develop systems capable of analyzing applications on desktop software, IoT devices, APIs, and emerging technology platforms, building off the expertise of our best-of-breed mobile security testing.
Create autonomous and human-in-the-loop workflows that balance scale, accuracy, and trust.
Develop reusable tools, skills, prompts, workflows, MCP servers, and agent orchestration infrastructure.
Integrate static and dynamic analysis, reverse engineering and decompilation, network analysis, vulnerability intelligence, and custom security tooling into agent workflows, including the kind of instrumentation that powers Frida-style runtime analysis.
Design systems that allow security expertise to be reused and continuously improved over time.
Stay current on advancements in agentic AI, offensive security, software assurance, and autonomous systems.
Prototype and evaluate new approaches for increasing the scale and depth of security testing.
Collaborate with security analysts and researchers to convert offensive security methodologies into scalable automation.