Senior AI Security Engineer

What You'll Bring

• 3–5+ years in security engineering or DevSecOps
• Foundational understanding of ML concepts, workflows, and frameworks (PyTorch, TensorFlow, scikit-learn)
• Working knowledge of LLMs, transformer architectures, and their security concerns (prompt injection, jailbreaking, data poisoning, model extraction)
• Container and Kubernetes security experience, including securing AI workloads
• Hands-on Python plus Bash or Go, and comfort with common data science libraries
• Cloud security in AI contexts — GPU security, distributed training, and data protection in ML pipelines
• Infrastructure-as-code experience (Terraform, Ansible)
• Solid grounding in encryption, key management, and PII/data privacy
• Familiarity with secure SDLC, ML supply-chain security, and model governance/versioning
• Working knowledge of compliance frameworks as applied to AI (GDPR, SOC 2)
• Strong communication skills and the ability to work independently or on a team

Projects

We're a small, but effective IT Consultancy agency in the USA. We're looking for Senior AI Security Engineer for our client Applied Systems is building out its AI security program and looking for a security engineer to help secure our LLMs, generative AI systems, and ML infrastructure.

This is an emerging role for someone with deep traditional security fundamentals who is eager to apply them to AI-specific threats — from prompt injection and model poisoning to privacy in training pipelines.

You don't need to be an ML researcher, but you should understand how machine learning works and be genuinely curious about where AI creates new risk. You'll help shape how Applied approaches AI security, work with cutting-edge technology, and build expertise in a domain where few engineers have deep experience.

Great senior team, cool management, full remote benefits. Join us!

What You'll Do

• Assess the security posture of LLMs and generative AI systems used within or by Applied Systems
• Run threat modeling and security architecture reviews for AI/ML systems and their data pipelines
• Implement and maintain security controls across model training, fine-tuning, and inference infrastructure
• Identify and help remediate AI-specific vulnerabilities — prompt injection, model poisoning, data exfiltration, and adversarial attacks
• Build data security and privacy controls for training datasets and inference inputs
• Develop security baselines, hardening configs, and incident-response runbooks for AI platforms
• Implement monitoring and detection for anomalous AI system behavior
• Contribute to internal AI security policies, vendor reviews, and security training

Benefits

• Salary paid in USD to either Payoneer or Bank account (Argentina or USA)
• 16 national bank holidays + 10 flexible holidays off
• Full remote opportunity
• Flexible hours
• Great senior team
• Cool management
• Ability to work on AI projects

Nice to Have

• Security certification (Security+, CISSP)
• Hands-on experience with OpenAI / Anthropic Claude / Vertex AI / Azure OpenAI
• ML security tools (Robust Intelligence, Arthur AI)
• AI security research or publications
• Penetration testing
• Red-teaming AI systems