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SOFTGIC

1755 Security Engineer

SOFTGIC

IT Services and IT Consulting · 51-200 employees

20 h ago
Remote Senior (5-10 yrs) Full-time
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About the role

Lead the security execution of an autonomous AI agent platform by validating security posture throughout the development lifecycle. Identify vulnerabilities and define security controls specifically for AI risks like prompt injection and tool misuse.

What they look for

Application Security Secure SDLC Threat Modeling AI Security LLM Security Prompt Injection Mitigation Secrets Management Authentication Authorization Audit Logging Product Security Vulnerability Identification

Requirements

Requires 5+ years of experience in Application Security or Secure SDLC with a strong background in threat modeling. Must have specific expertise in mitigating security risks associated with LLMs and autonomous AI agent systems.

Full description

This is a remote position.

? About the Role

We are looking for an AI Application Security Engineer to lead the security execution of an autonomous AI agent platform. This role is responsible for validating the platform's security posture throughout the development lifecycle, with a strong focus on AI-specific risks such as prompt injection, tool misuse, secrets management, authorization, and auditability.

You will work closely with Engineering, Product, and Platform teams to identify vulnerabilities early, perform threat modeling, define security controls, and ensure the platform is ready for internal and external security reviews before release.

This is a highly technical, hands-on role ideal for professionals with experience in Application Security, Secure SDLC, and emerging security challenges related to Large Language Models (LLMs) and AI agents.

Requirements

✅ Required Qualifications

  • 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+).