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Capital

AI Security Engineer

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Date Posted

Department

Security - CorpSec

Location

Limassol, Cyprus

We are looking for an AI Security Engineer to secure our AI-driven systems, including LLM-based applications, machine learning models, and AI-enabled automation tools.This role will focus on identifying, assessing, and mitigating security risks across the AI lifecycle — from model development and training to deployment and runtime monitoring.The ideal candidate combines strong security engineering experience with a deep understanding of machine learning systems and emerging AI-specific threats (e.g., prompt injection, model poisoning, data leakage, adversarial attacks).

Key Responsibilities:

    AI/ML Security Architecture
  • Design and implement security controls for AI/ML systems across development, training, and production.
  • Secure LLM integrations, RAG pipelines, and AI APIs.
  • Conduct threat modeling for AI systems and data pipelines.
  • Define secure-by-design patterns for AI-powered features.

    • AI Threat Detection & Mitigation

  • Identify and mitigate AI-specific threats: prompt injection and jailbreak techniques, model poisoning and data contamination, adversarial attacks, training data leakage, insecure model serialization, excessive permissions in AI agents.
  • Develop guardrails, content filters, and output validation mechanisms.
  • Implement monitoring for anomalous AI behavior.

    • Secure Development & DevSecOps

  • Integrate AI security checks into CI/CD pipelines.
  • Perform security reviews of ML code and AI-related infrastructure.
  • Secure model registries and artifact storage.
  • Collaborate with other engineers and platform teams to enforce security standards.

    • Data Protection & Compliance

  • Ensure AI systems comply with: GDPR and data privacy regulations, financial industry regulatory requirements, implement controls for sensitive data used in training and inference, perform AI risk assessments aligned with internal risk methodology.

    • Governance & Policy

  • Contribute to AI security standards and internal policies.
  • Define AI risk classification and control frameworks.
  • Support security reviews for new AI initiatives / tools.

Required Qualifications:

  • 3–5+ years in cybersecurity engineering or application security.
  • Hands-on experience with ML/AI systems (LLMs, NLP models, or similar).
  • Strong understanding of: OWASP Top 10, Secure SDLC, Cloud security (AWS/Azure/GCP).
  • Experience with: Python, API security, Containerization (Docker, Kubernetes).
  • Knowledge of AI-specific security risks and mitigations.
  • Experience conducting threat modeling and risk assessments.

Preferred Qualifications:

  • Experience securing LLM-based applications (OpenAI, Anthropic, Azure OpenAI, etc.).
  • Familiarity with: RAG architectures, Vector databases, ML pipelines (MLflow, Kubeflow, SageMaker).
  • Experience in fintech or regulated environments.
  • Knowledge of AI governance frameworks (e.g., EU AI Act, NIST AI RMF, ISO/IEC 42001).
  • Experience with AI red teaming.

Soft Skills:

  • Strong analytical and problem-solving skills.
  • Ability to translate technical risk into business impact.
  • Able to explain AI security risks and mitigations to non-security teams.
  • Cross-functional collaboration with ML, data, and product teams.
  • Clear documentation and communication skills.

What you will get in return:

    •  Competitive Salary:  We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated.
    •  Work-Life Harmony:  Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid
    •  Generous Time Off:  Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry.
    •  Employee Referral Program:  Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team.
    •  Comprehensive Health & Pension Benefits:  From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks!
    •  Workation Wonderland:  Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits!
    •  Volunteer Days:  Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.
Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.
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