Design Security Automation Frameworks

• 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.

Research & Innovation

• 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.

Who You Are:

If you're the kind of person who spends a weekend wiring together a new LangGraph 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.

Skills and Experience Needed for Success:

• Coding experience in Python, JavaScript, or TypeScript. You don't need to be an expert. You do need to 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.

Bonus Points if You Have Any of the Below:

• 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 (a real plus).
• Published security research, presentations, or conference talks.

We Value Diversity

We believe that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value team members who bring diverse life experiences, educational backgrounds, cultures, and work experiences.

Compensation & Benefits

NowSecure is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $120,000 - $160,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k with company match, paid parental leave, Home Office Stipend, and flexible PTO. In addition to working in a remote-first work environment.

Originally posted on Himalayas