Founding AI Engineer

Harden; United States; Remote; USD 140,000 - 200,000; Full time

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

Build 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

• Design, train, and deploy reinforcement learning-driven optimization loops for AI agents.
• Develop agent workflows that inspect generated applications and identify security gaps.
• Enable agents to propose reliable fixes and assess application readiness for enterprise deployment.
• Integrate AI security capabilities into CI/CD and customer-controlled runtime environments.
• Build and operate the production services needed to support these systems, including APIs and infrastructure.

Requirements

• Strong hands-on technical experience across machine learning engineering and production software.
• Experience with LLM systems and reinforcement learning or optimization approaches for agents.
• Security engineering knowledge sufficient to reason about application vulnerabilities and fixes.
• Ability to work across APIs, infrastructure, and service-level requirements.
• Comfort moving between research and engineering while shipping systems for real-world use.