This is a remote position.
? About the RoleWe 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+).
Skills Required
- 5+ years of experience in Application Security, Product Security, or Secure SDLC
- Hands-on experience with threat modeling and security reviews for modern applications
- Strong understanding of application security, 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+)
What We Do
The company provides automation and process optimization, UX innovation, software designing and testing, big data, artificial intelligence, and machine learning. They are involved in the development of computer systems and IT consulting.
