Crypto.com
AI Security Engineer
NEW💰 USD 117,000 - 150,000/yr
Job Description
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AI Security Engineer
Hong Kong, Hong Kong SAR
Security – Information Security and Compliance /
Full-time /
Hybrid
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About the Role
We are looking for someone who understands how modern AI systems work — and is eager to do something useful with that knowledge.
This role sits across two areas: helping our teams adopt and apply AI in their day-to-day work, and contributing to how we keep those AI systems secure. You will work directly with both technical and non-technical teams, translating business processes into practical AI-powered solutions, while also supporting our security posture around AI adoption.
You will have real ownership from day one, with experienced colleagues to work alongside. This space is new enough that curiosity and drive matter as much as a polished CV.
What You'll Do
AI Enablement & Automation
Work with teams across the organisation — including non-technical ones — to identify where AI can meaningfully improve how they work.
Design and build AI-powered automations and workflows, turning business requirements into working solutions.
Embed directly with teams to understand their processes, then prototype and iterate quickly.
Help teams understand what AI can and cannot do, and guide them in using it effectively and responsibly.
Document patterns, playbooks, and reusable components so that knowledge scales beyond individual projects.
AI Security
Participate in security reviews of AI-enabled applications, agents, and LLM-integrated workflows.
Help identify vulnerabilities in LLM-based systems: prompt injection, data leakage, insecure tool use, and authentication gaps.
Support evaluation of agentic workflows for privilege escalation, unsafe action chaining, and unintended side effects.
Assist with assessing how third-party AI platforms (e.g., Claude, OpenAI APIs, internal AI tools) are integrated and used across the organisation.
Apply frameworks such as OWASP LLM Top 10 and MITRE ATLAS to help identify and prioritise risks.
Help maintain an inventory of AI tools in use and support internal governance and policy documentation.
Contribute to building test harnesses and repeatable validation frameworks.
Work with engineering teams to translate findings into actionable mitigations.
Stay current — this space moves fast, and you'll be expected to keep pace.
What We're Looking For
Must-Haves
Hands-on experience with LLMs, AI APIs, or AI-powered tooling — you have built or experimented with something using them.
Able to communicate clearly with non-technical people and translate what you are working on into plain language.
Can write code or scripts to get things done — language is less important than the ability to ship.
Exposure to LLM security concepts — prompt injection, jailbreaks, RAG risks — even from personal research or reading.
Curious, self-directed, and comfortable figuring things out without a detailed playbook.
Nice-to-Haves
Experience building automations or integrations using AI tools
Familiarity with agent orchestration, tool calling, or multi-agent systems.
Exposure to application security fundamentals: OWASP, secure SDLC, code review.
Any cloud platform exposure (AWS, Azure, GCP).
CTF participation, bug bounty, or independent security research.
Incident Response experience; lead or in a front-line IR team
Knowledge of AI governance or compliance frameworks.
What We Offer
Direct exposure to AI systems across the entire organisation.
A role where you will help shape how we adopt and secure AI — not follow a playbook someone else wrote.
A team that takes security seriously and gives you space to grow into it.
Curiosity and self-direction are genuine assets here.
#LI-CY2
#LI-Hybrid
Life @ Crypto.com
Empowered to think big. Try new opportunities while working with a talented, ambitious and supportive team.
Transformational and proactive working environment. Elevate employees to find thoughtful and innovative solutions.
Growth from within. We help to develop new skill-sets that would impact the shaping of your personal and professional growth.
Work Culture. Our colleagues are some of the best in the industry; we are all here to help and support one another.
One cohesive team. Engage stakeholders to achieve our ultimate goal - Cryptocurrency in every wallet.
Are you ready to kickstart your future with us?
Benefits
Competitive salary
Medical insurance package with extended coverage to dependents
Attractive annual leave entitlement including: birthday, work anniversary
Work Flexibility Adoption. Flexi-work hour and hybrid or remote set-up
Aspire career alternatives through us. Our internal mobility program can offer employees a diverse scope.
Work Perks: crypto.com visa card provided upon joining
Our Crypto.com benefits packages vary depending on region requirements, you can learn more from our talent acquisition team.
About Crypto.com:
Founded in 2016, Crypto.com serves more than 150 million customers and is the world's fastest growing global cryptocurrency platform. Our vision is simple: Cryptocurrency in Every Wallet™. Built on a foundation of security, privacy, and compliance, Crypto.com is committed to accelerating the adoption of cryptocurrency through innovation and empowering the next generation of builders, creators, and entrepreneurs to develop a fairer and more equitable digital ecosystem.
Learn more at https://crypto.com.
Crypto.com is an equal opportunities employer and we are committed to creating an environment where opportunities are presented to everyone in a fair and transparent way. Crypto.com values diversity and inclusion, seeking candidates with a variety of backgrounds, perspectives, and skills that complement and strengthen our team.
Personal data provided by applicants will be used for recruitment purposes only.
We may use artificial intelligence tools to analyze the content of your Resume/CV against the specific requirements for the position. The purpose is to support our recruitment team in reviewing applications more effectively. These tools assist our recruitment team in their evaluation of your application by providing recommendations, but they do not replace human judgment. Final hiring decisions are ultimately made by humans who consider the insights generated by the tools along with other relevant information. If you would like more details about how your personal information is processed, please contact us.
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Crypto.com
Compensation: $117k - $150k estimated
Location: Hong Kong, Hong Kong SAR
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Requirements
Must-Haves Hands-on experience with LLMs, AI APIs, or AI-powered tooling — you have built or experimented with something using them. Able to communicate clearly with non-technical people and translate what you are working on into plain language. Can write code or scripts to get things done — language is less important than the ability to ship. Exposure to LLM security concepts — prompt injection, jailbreaks, RAG risks — even from personal research or reading. Curious, self-directed, and comfortable figuring things out without a detailed playbook. Nice-to-Haves Experience building automations or integrations using AI tools Familiarity with agent orchestration, tool calling, or multi-agent systems. Exposure to application security fundamentals: OWASP, secure SDLC, code review. Any cloud platform exposure (AWS, Azure, GCP). CTF participation, bug bounty, or independent security research. Incident Response experience; lead or in a front-line IR team Knowledge of AI governance or compliance frameworks. What We Offer Direct exposure to AI systems across the entire organisation. A role where you will help shape how we adopt and secure AI — not follow a playbook someone else wrote. A team that takes security seriously and gives you space to grow into it. Curiosity and self-direction are genuine assets here.
Responsibilities
AI Enablement & Automation Work with teams across the organisation — including non-technical ones — to identify where AI can meaningfully improve how they work. Design and build AI-powered automations and workflows, turning business requirements into working solutions. Embed directly with teams to understand their processes, then prototype and iterate quickly. Help teams understand what AI can and cannot do, and guide them in using it effectively and responsibly. Document patterns, playbooks, and reusable components so that knowledge scales beyond individual projects. AI Security Participate in security reviews of AI-enabled applications, agents, and LLM-integrated workflows. Help identify vulnerabilities in LLM-based systems: prompt injection, data leakage, insecure tool use, and authentication gaps. Support evaluation of agentic workflows for privilege escalation, unsafe action chaining, and unintended side effects. Assist with assessing how third-party AI platforms (e.g., Claude, OpenAI APIs, internal AI tools) are integrated and used across the organisation. Apply frameworks such as OWASP LLM Top 10 and MITRE ATLAS to help identify and prioritise risks. Help maintain an inventory of AI tools in use and support internal governance and policy documentation. Contribute to building test harnesses and repeatable validation frameworks. Work with engineering teams to translate findings into actionable mitigations. Stay current — this space moves fast, and you'll be expected to keep pace.