Summary
Help secure the next generation of AI-driven systems, including LLM applications, machine learning models, automation tools, and AI APIs. You will design security controls across the AI lifecycle, secure LLM and RAG integrations, perform threat modeling, and detect and mitigate emerging threats such as prompt injection, model poisoning, data leakage, and adversarial attacks.
Highlights
Specialized security engineering opportunity focused on securing AI systems across development, training, deployment, and runtime. The role covers emerging AI threats, secure architecture, LLM and RAG security, and security-by-design practices.
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 โ 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 productionSecure LLM integrations, RAG pipelines, and AI APIsConduct threat modeling for AI systems and data pipelinesDefine 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 agentsDevelop guardrails, content filters, and output validation mechanismsImplement monitoring for anomalous AI behavior
Secure Development & DevSecOps
Integrate AI security checks into CI/CD pipelinesPerform security reviews of ML code and AI-related infrastructureSecure model registries and artifact storageCollaborate 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 policiesDefine AI risk classification and control frameworksSupport security reviews for new AI initiatives / tools
Required Qualifications:
3-5+ years in software engineering, ML engineering, or application securityHands-on experience with AI/ML systems โ LLMs, NLP models, or similarPython proficiency for automation and scriptingExperience working with Claude CodeStrong understanding of cloud platforms: AWS, Azure, or GCPExperience with API security, Docker, KubernetesKnowledge of AI-specific security risks and mitigationsExperience conducting threat modeling and risk assessments
Preferred Qualifications:
Familiarity with RAG architectures, vector databases, ML pipelines (MLflow, Kubeflow, SageMaker)Experience in fintech or regulated environmentsKnowledge of AI governance frameworks (EU AI Act, NIST AI RMF, ISO/IEC 42001)Experience with AI red teamingBackground in cybersecurity or application security (OWASP, Secure SDLC)
Soft Skills:
Strong analytical and problem-solving skillsAbility to translate technical risk into business impactAble to explain AI security risks and mitigations to non-security teamsCross-functional collaboration with ML, data, and product teamsClear 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 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, weโve 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.
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.