AI 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. Key requirements include 3-5+ years in software engineering, ML engineering, or application security, hands-on experience with AI/ML systems, Python proficiency, and a strong understanding of cloud platforms.
Key Highlights
AI/ML Security Architecture
AI Threat Detection & Mitigation
Secure Development & DevSecOps
Key Responsibilities
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
Identify and mitigate AI-specific threats: prompt injection, jailbreak techniques, model poisoning, data contamination, adversarial attacks
Develop guardrails, content filters, and output validation mechanisms
Implement monitoring for anomalous AI behavior
Integrate AI security checks into CI/CD pipelines
Perform security reviews of ML code and AI-related infrastructure
Secure model registries and artifact storage
Ensure AI systems comply with GDPR, data privacy regulations, and financial industry regulatory requirements
Implement controls for sensitive data used in training and inference
Perform AI risk assessments aligned with internal risk methodology
Contribute to AI security standards and internal policies
Define AI risk classification and control frameworks
Support security reviews for new AI initiatives/tools
Technical Skills Required
Benefits & Perks
Competitive Salary
Work-Life Harmony
Generous Time Off
Employee Referral Program
Comprehensive Health & Pension Benefits
Workation Wonderland (30 extra days remote work)
Volunteer Days
Nice to Have
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)
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
- 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
- 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
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- 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
- Contribute to AI security standards and internal policies
- Define AI risk classification and control frameworks
- Support security reviews for new AI initiatives / tools
- 3-5+ 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
- 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)
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- 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
- 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
- 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
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.
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