LLM Security Engineer: AI Defense & Pen Testing

Coins.ph

Any-Martin-Rieux

Sur place

EUR 78 000 - 130 000

Plein temps

Il y a 4 jours
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Résumé du poste

Coins is actively seeking a security-focused engineer to safeguard AI agents and cloud-native infrastructure. You will design automated detection, build anomaly‑detection capabilities, and evaluate agent behavior in production environments to prevent tool misuse and prompt attacks.

You will work with LangChain, Kubernetes, Docker, and AWS to fortify security across the platform, ensuring robust defenses and rapid incident response in a fast‑growing crypto brand.

Qualifications

  • Minimum 3+ years in security offense/defense (red team).
  • At least 1+ year in LLM security offense/defense; hands-on red team experience preferred.
  • Familiarity with cloud-native stacks (K8S, Docker) and cloud security concepts.
  • Ability to independently build/modify AI Agents (e.g., LangChain) and perform offensive testing on agents.
  • Knowledge of OWASP Top 10 for LLM and MITRE ATT&CK frameworks; strong defense mindset.

Responsabilités

  • Review and perform security testing of AI agents and related systems.
  • Design and implement AI-based security detection and alerting tools.
  • Build auditing and anomaly detection for agent behavior and runtime security.
  • Assess attack surfaces of cloud-native runtimes and devise defense-in-depth strategies.

Connaissances

Security testing
LLM security
Cloud security
Agent development
OWASP Top 10 for LLM
MITRE ATT&CK
Python/Go/C++

Outils

LangChain
K8S
Docker
AWS
PyTorch/TensorFlow

Description du poste

Coins is actively seeking a security-focused engineer to safeguard AI agents and cloud-native infrastructure. You will design automated detection, build anomaly‑detection capabilities, and evaluate agent behavior in production environments to prevent tool misuse and prompt attacks.

You will work with LangChain, Kubernetes, Docker, and AWS to fortify security across the platform, ensuring robust defenses and rapid incident response in a fast‑growing crypto brand.

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