AI/ML Security Engineer

This is a fully remote position, open to applicants in Mexico, +3 more countries.

📋 Description

• Design and create frameworks for assessing the security, safety, accuracy, reliability, and performance of ML/GenAI solutions.

• Identify, replicate, and address 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 usage.

• Establish and maintain metrics, monitoring, and evaluation capabilities for AI/ML applications.

• Collaborate with engineering and security teams to formulate AI threat models, security controls, and guardrails.

• Investigate vulnerabilities and unexpected behaviors across LLMs, AI agents, APIs, and their supporting infrastructure.

• Contribute to AI/ML infrastructure, CI/CD pipelines, APIs, and automation processes.

• Write scalable, secure, and maintainable code, predominantly in Python.

• Develop unit, integration, functional, and security tests.

• Engage in code reviews, troubleshooting, production support, and security evaluations.

• Remain updated on emerging AI security threats, attack methodologies, and defensive strategies.

⛳️ Requirements

• 4–5 years of experience in ML Engineering, Software Engineering, AI Security, Application Security, or a related domain, or an advanced degree with relevant experience (preferred).

• Familiarity with Generative AI, LLMs, and/or Agentic AI (preferred).

• Comprehension of LLM security threats, particularly prompt injection, indirect prompt injection, jailbreaks, and data leakage (preferred).

• Experience in AI/ML security testing, adversarial testing, red teaming, vulnerability assessment, or threat modeling (preferred).

• Experience in constructing AI/ML evaluation, monitoring, or governance frameworks (preferred).

• Proficient in Python programming; familiarity with Java or other programming languages is a plus (preferred).

• Experience with ML deployment, CI/CD, data pipelines, and production infrastructure (preferred).

• Practical experience with AWS, Docker, and Kubernetes (preferred).

• Solid foundation in software engineering, APIs, distributed systems, databases, and testing (preferred).

• Experience with Git/GitHub and Agile/Sprint development methodologies (preferred).

• Strong debugging, analytical, and problem-solving abilities (preferred).

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible working hours and remote work options.

• Opportunities for professional development and continuous learning.

• Collaborative and innovative work environment.