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AI Security Engineer
iMinds Technology Systems, Inc.Texas City, TX🇺🇸United StatesPosted 5 Jul 2026
Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
We are looking for an experienced AI Security Engineer with strong expertise in Cybersecurity, Application Security, and AI/ML Security to help secure Generative AI and Large Language Model (LLM) applications.
Required Qualifications
- 5+ years of Cybersecurity or Application Security experience.
- 2+ years of AI/ML or Generative AI Security experience.
- Hands-on experience securing AI/ML and LLM-based applications.
- Strong experience with Python.
- Experience with AWS, Azure, or Google Cloud Platform.
- Knowledge of API Security and Secure SDLC.
- Experience with OpenAI, Azure OpenAI, LangChain, LangGraph, or similar AI frameworks.
- Strong understanding of AI security threats including Prompt Injection, Model Poisoning, Adversarial Attacks, Data Leakage, and Model Security.
- Experience with Threat Modeling, Vulnerability Assessments, Security Testing, IAM, Encryption, and DevSecOps.
Preferred Skills
- RAG (Retrieval-Augmented Generation)
- Vector Databases
- Microsoft Copilot Security
- AI Governance
- CISSP, CCSP, or CEH Certifications
Work Authorization
Independent Work Authorization Preferred: GC-EAD, -EAD, TN, L2-EAD.
Important Notes
- Candidates must be willing to work on our W2 payroll.
- No C2C or third-party candidates.
- Rate: DOE.
If interested, please apply with your updated resume and contact details.
Skills
AWS
Encryption
Azure
Generative AI
Google Cloud
LLM
Python
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