Senior Agentic Security Automation Engineer

Your Opportunity:

We're looking for a Senior Agentic Security Automation Engineer who thrives on technical challenges, enjoys building things from scratch, and has an insatiable curiosity for how software works, how it breaks, and how it can be analyzed autonomously.

In this role, your goal won't be to perform security assessments by hand. You'll design agentic workflows, build automation frameworks, integrate security tooling (including that built by our world‑renowned research team; the people behind Frida and radare2), develop evaluation systems, and create the infrastructure that enables autonomous analysis of applications of all kinds, be it computer, phone or IoT.

Success in this role means helping transform security testing from a human‑limited activity into a technology‑enabled capability that can analyze more applications, execute broader test coverage, identify more meaningful security issues, and continually improve over time. Your first mission is to make our offensive security team faster and more effective in a repeatable way. Where it goes from there is genuinely open, and that’s a big part of the appeal.

You'll have a hand in shaping it.

• 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.

If you're the kind of person who spends a weekend wiring together a new Lang Graph workflow, builds a custom tool because the existing one doesn't quite fit, or finds yourself wondering whether an AI agent could perform a security task faster, better, or at a scale impossible for human teams alone, you'll fit right in.

This is a highly autonomous role. We're looking for someone who can identify opportunities, define milestones, conduct research, and drive projects from concept to production with minimal oversight. You'll have significant freedom to experiment, iterate, and help define the future of AI‑driven security testing.

• Coding experience in Python, JavaScript, or Type Script. You don't need to be an expert, but you must write clean, production‑quality code and reliably pick up what you don't already know.
• 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. We'd rather hire a sharp, motivated builder who's newer to AI than someone who's done with learning.
• U.S. citizenship. This role supports U.S. government work and requires U.S. citizenship.

• Demonstrable experience building agentic…