Founding AI Security Engineer: RL Agents for Enterprise

Harden

United States

Remote

USD 140,000 - 200,000

Full time

9 days ago

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Job summary

Harden is building AI-assisted security systems that assess and strengthen applications produced with AI. You’ll work across research, machine learning, security, and production software to develop optimization loops for agents and deliver capabilities suited to enterprise deployment workflows.

Responsibilities include designing, training, and deploying reinforcement learning–driven optimization loops for AI agents, developing agent workflows that inspect generated applications for security

Qualifications

  • Strong hands-on experience in ML engineering and production software.
  • Experience with LLM systems and reinforcement learning for agents.
  • Security engineering knowledge to reason about vulnerabilities and fixes.
  • Ability to work across APIs, infrastructure, and service-level requirements.
  • Comfort bridging research and engineering while shipping real-world systems.

Responsibilities

  • Design, train, and deploy reinforcement learning loops for AI agents.
  • Develop agent workflows to inspect apps and identify security gaps.
  • Enable agents to propose fixes and assess enterprise readiness.
  • Integrate AI security into CI/CD and runtime environments.
  • Build production services, APIs, and infrastructure to support systems.

Skills

ML engineering
Production software
LLM systems
Reinforcement learning
Security engineering
APIs & Infrastructure
Research-to-Production

Job description

Harden is building AI-assisted security systems that assess and strengthen applications produced with AI. You’ll work across research, machine learning, security, and production software to develop optimization loops for agents and deliver capabilities suited to enterprise deployment workflows.

Responsibilities include designing, training, and deploying reinforcement learning–driven optimization loops for AI agents, developing agent workflows that inspect generated applications for security

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