DescriptionWe are looking for an AI/ML Security Engineer with experience in prompt injection and AI security to join a remote team based in LATAM and working CST hours.
You will help develop frameworks, tools, and infrastructure to evaluate, secure, monitor, and govern Machine Learning, Generative AI, and Agentic AI solutions.
A key focus is identifying and remediating AI security threats, including prompt injection, jailbreaks, data leakage, adversarial inputs, and unsafe AI/agent behavior.You will work closely with AI/ML, security, and product teams to build automated security evaluations, establish security metrics, investigate vulnerabilities, and implement effective remediation and guardrails across the AI/ML lifecycle.Key ResponsibilitiesDesign and develop frameworks to evaluate the security, safety, accuracy, reliability, and performance of ML/GenAI solutionsIdentify, reproduce, and remediate prompt injection and indirect prompt injection vulnerabilitiesDevelop automated security and adversarial tests for LLMs and Agentic AI, including jailbreaks, data leakage, and unsafe tool useBuild and maintain metrics, monitoring, and evaluation capabilities for AI/ML applicationsCollaborate with engineering and security teams to develop AI threat models, security controls, and guardrailsInvestigate vulnerabilities and unexpected behavior across LLMs, AI agents, APIs, and supporting infrastructureContribute to AI/ML infrastructure, CI/CD pipelines, APIs, and automationWrite scalable, secure, and maintainable code, primarily in PythonDevelop unit, integration, functional, and security testsParticipate in code reviews, troubleshooting, production support, and security assessmentsStay current with emerging AI security threats, attack techniques, and defensive strategiesRequirements4–5 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)Benefits4–5 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)

📌 Ai/Ml Security Engineer (México)
🏢 CrewBloom
📍 México