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AI Security Engineer
Job Location:
Monthly Salary:
Posted:
22 July 2026 (20 days ago)
Posted:
Application Deadline:
27 October 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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).
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:
- 35 years in software engineering ML engineering or application security
- Hands-on experience with AI/ML systems LLMs NLP models or similar.
- Python proficiency for automation and scripting.
- Experience working with Claude Code.
- Strong understanding of cloud platforms: AWS Azure or GCP
- Experience with API security Docker Kubernetes
- Knowledge of AI-specific security risks and mitigations
- Experience conducting threat modeling and risk assessments.
Preferred Qualifications:
- Familiarity with RAG architectures vector databases ML pipelines (MLflow Kubeflow SageMaker).
- Experience in fintech or regulated environments.
- Knowledge of AI governance frameworks (EU AI Act NIST AI RMF ISO/IEC 42001).
- Experience with AI red teaming.
- Background in cybersecurity or application security (OWASP Secure SDLC).
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 weve 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 alongside one of the most brilliant teams in the industry.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
About Company
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