AI/ML Security Engineer
New
C
CrewBloomAI/ML security
Remote team based in LATAM; Workable locations: Mexico. North, South Carolina, United States. Costa Rica. Honduras, working CST hoursFull-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 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)
- Required Skills
- AWSPythonCI/CDGenerative AI
Requirements
- Have 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).
- Have experience with Generative AI, LLMs, and/or Agentic AI (preferred).
- Understand LLM security threats, especially prompt injection, indirect prompt injection, jailbreaks, and data leakage (preferred).
- Have experience with AI/ML security testing, adversarial testing, red teaming, vulnerability assessment, or threat modeling (preferred).
- Have experience building AI/ML evaluation, monitoring, or governance frameworks (preferred).
- Have strong Python programming skills; Java or other languages are a plus (preferred).
- Have experience with ML deployment, CI/CD, data pipelines, and production infrastructure (preferred).
- Have hands-on experience with AWS, Docker, and Kubernetes (preferred).
- Have a strong foundation in software engineering, APIs, distributed systems, databases, and testing (preferred).
- Have experience with Git/GitHub and Agile/Sprint development environments (preferred).
- Have strong debugging, analytical, and problem-solving skills (preferred).
Responsibilities
- 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.
View Full Description & ApplyYou'll be redirected to the employer's site
