Security Engineer

Softgic

AI Application Security Engineer leading security execution of an AI agent platform. Focus on AI-specific risks and collaborate with multiple teams to ensure security controls are in place.

Posted 7/15/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Application Security and Secure Software Development Lifecycle, with a strong focus on identifying and mitigating AI-specific security risks. Proficient in threat modeling, security reviews, and collaboration with cross-functional teams to ensure robust security measures are in place.

Highest-signal resume keywords

Application SecurityThreat ModelingSecure Software Development LifecycleAI-Specific Security RisksAnalytical Problem-Solving

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Threat ModelingSecurity ReviewsApplication Security PrinciplesAuthenticationAuthorizationSecrets ManagementVulnerability IdentificationRisk MitigationAudit LoggingCompliance Requirements

Soft Skills

Analytical SkillsProblem-SolvingCollaboration

Industry Keywords

AI ApplicationsLLMsAutonomous Agent SystemsPrompt InjectionTool MisuseJailbreak TechniquesAI-Specific Attack Vectors

Tech Stack

Tools & technologies

SDLC

About the role

Key responsibilities & impact

Lead the security execution of an autonomous AI agent platform.
Validate the platform's security posture throughout the development lifecycle.
Focus on AI-specific risks such as prompt injection, tool misuse, secrets management, authorization, and auditability.
Work closely with Engineering, Product, and Platform teams to identify vulnerabilities early.
Perform threat modeling and define security controls.
Ensure the platform is ready for internal and external security reviews before release.

Requirements

What you’ll need

5+ years of experience in Application Security, Product Security, or Secure Software Development Lifecycle (Secure SDLC).
Hands-on experience performing threat modeling and security reviews for modern applications.
Strong understanding of application security principles, authentication, authorization, and secrets management.
Experience identifying and mitigating security risks in AI applications, LLMs, or autonomous agent systems.
Familiarity with prompt injection, indirect prompt injection, tool misuse, jailbreak techniques, and AI-specific attack vectors.
Experience reviewing audit logging, security controls, and compliance requirements.
Strong analytical and problem-solving skills with an adversarial security mindset.
Experience collaborating with engineering teams throughout the software development lifecycle.
Advanced conversational English (B2+).

Benefits

Comp & perks

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