Job Description

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.