# AI Security Engineer — Capital.com

Canonical: https://jobxdubai.com/jobs/li-4427740392-ai-security-engineer
Location: Dubai, UAE (remote)
Type: full_time · Level: mid
Monthly salary: AED 20,000 to 32,000 per month (estimated, not employer-stated) (UAE salaries are tax-free)
Posted: 2026-07-07
Apply: https://www.linkedin.com/jobs/view/ai-security-engineer-at-capital-com-4427740392?_l=en

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## 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 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

• 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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## Requirements

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.

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