AI/ML Security Engineer

Job not on LinkedIn

🔥 12 hours ago

🌐 Mexico, United States, +2 more countries – Remote

🇲🇽 Mexico – Remote 🇺🇸 United States – Remote 🇨🇷 Costa Rica – Remote 🇭🇳 Honduras – Remote

💵 $35 / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♂️ Cybersecurity / Security Engineer

👻 Ghost score 9%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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CrewBloom

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

🤝 B2B

☁️ SaaS

🎯 Recruiter

B2B • SaaS • Recruitment

CrewBloom is a remote staffing agency dedicated to connecting businesses with top-tier remote talent across various industries. They streamline the hiring process by sourcing, screening, and onboarding qualified candidates tailored to the specific needs of their clients, ensuring a seamless integration into teams. With a focus on global talent acquisition, CrewBloom empowers companies to scale their operations efficiently while reducing costs and maintaining compliance with HR regulations.

📋 Description

• Design and develop frameworks to evaluate the security, safety, accuracy, reliability, and performance of ML/GenAI solutions • Identify, reproduce, and remediate prompt injection and indirect prompt injection vulnerabilities • Develop automated security and adversarial tests for LLMs and Agentic AI, including jailbreaks, data leakage, and unsafe tool use • Build and maintain metrics, monitoring, and evaluation capabilities for AI/ML applications • Collaborate with engineering and security teams to develop AI threat models, security controls, and guardrails • Investigate vulnerabilities and unexpected behavior across LLMs, AI agents, APIs, and supporting infrastructure • Contribute to AI/ML infrastructure, CI/CD pipelines, APIs, and automation • Write scalable, secure, and maintainable code, primarily in Python • Develop unit, integration, functional, and security tests • Participate in code reviews, troubleshooting, production support, and security assessments • Stay current with emerging AI security threats, attack techniques, and defensive strategies

🎯 Requirements

• 4–5 years of experience in ML Engineering, Software Engineering, AI Security, Application Security, or a related field, or an advanced degree with relevant experience (preferred) • Experience with Generative AI, LLMs, and/or Agentic AI (preferred) • Understanding of LLM security threats, especially prompt injection, indirect prompt injection, jailbreaks, and data leakage (preferred) • Experience with AI/ML security testing, adversarial testing, red teaming, vulnerability assessment, or threat modeling (preferred) • Experience building AI/ML evaluation, monitoring, or governance frameworks (preferred) • Strong Python programming skills; Java or other languages are a plus (preferred) • Experience with ML deployment, CI/CD, data pipelines, and production infrastructure (preferred) • Hands-on experience with AWS, Docker, and Kubernetes (preferred) • Strong foundation in software engineering, APIs, distributed systems, databases, and testing (preferred) • Experience with Git/GitHub and Agile/Sprint development environments (preferred) • Strong debugging, analytical, and problem-solving skills (preferred)