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# Junior AI Security Engineer/Pen Testing/Red Team

- **Company:** Motion Recruitment Partners LLC.
- **Location:** Philadelphia, PA, United States (Remote available)
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Kubernetes Security, Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Software Applications, Software System Penetration Testing, User Authentication, Microsoft Azure, Cyber Security, Python (Programming Language), Machine Learning, Open Web Application Security, Tensorflow, Red Team (Cyber Security), Secure Coding, Software Engineering, TypeScript, Software Vulnerability Management, Web Applications, Google Cloud, Cloud Platform System, Large Language Models, Software Security, Generative AI, Git, Kubernetes, Restful APIs, Docker, Static Application Security Testing, Vulnerability Analysis, Programming Languages, Dynamic Application Security Testing
- **Published:** November 11, 2026
- **Apply:** https://www.dice.com/job-detail/1af5d0d8-05e1-4dd7-a77a-6fdf4a993b9e

## About the Role

* 1+ years of experience in Software Engineering, Application Security, Product Security, or a related technical role.
 * Strong understanding of software development principles and the Software Development Life Cycle (SDLC).
 * Experience with at least one programming language such as Python, Java, JavaScript, TypeScript, or Go.
 * Foundational knowledge of Application Security concepts, including OWASP Top 10, secure coding practices, and common application vulnerabilities.
 * Understanding of web application architecture, REST APIs, authentication, and authorization.
 * Familiarity with Git, CI/CD pipelines, and modern development workflows.
 * Strong problem-solving skills and the ability to analyze technical issues and identify potential security risks.
 * Interest in AI/ML technologies and securing AI-powered applications.

Desired Skills & Experience

 * Exposure to AI/ML frameworks, LLMs, or generative AI applications.
 * Familiarity with AI security concepts, including prompt injection, insecure output handling, sensitive data exposure, and model abuse.
 * Knowledge of the OWASP Top 10 for LLM Applications.
 * Experience with application security tools such as SAST, DAST, SCA, or vulnerability scanning platforms.
 * Exposure to cloud environments such as AWS, Azure, or Google Cloud Platform.
 * Familiarity with Docker, Kubernetes, and container security.
 * Understanding of threat modeling, penetration testing, or vulnerability management.
 * Personal projects, certifications, or coursework related to AI, software development, or cybersecurity are a plus., Applicants must be currently authorized to work in the US on a full-time basis now and in the future.