Senior AI Security Engineer
Summary
Secure AI systems by assessing LLM security, implementing controls for training/inference pipelines, and defending against prompt injection, data poisoning, and adversarial attacks.
- 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
- 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
- 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