1755 Security Engineer
Softgic
If you want to work on security problems that most engineers haven't seen yet, this role gets you there early. AI application security is becoming critical as companies deploy autonomous agents, and Softgic is building the platform. You'd own the security execution across the whole development lifecycle.
Your day involves threat modeling for AI-specific risks (prompt injection, tool misuse, secrets leakage), performing security reviews, defining controls, and working with engineering and product teams to catch vulnerabilities before they reach production. You'll also prep the platform for internal and external security audits. It's hands-on technical work, not meetings about security.
This fits engineers with 5+ years in application security, secure SDLC, or product security who understand modern auth, threat modeling, and want to get ahead of LLM and AI agent risks. A strong portfolio of security reviews or threat models helps. This is remote across the US.
Apply through CareerJumpShip to submit your background and relevant work samples. Softgic will review and reach out directly to candidates who match the bar.
About this role
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+). Originally posted on Himalayas
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