Crypto.com - AI Security Engineer
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Requirements
• 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. • 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.
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. • 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. • 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.
Benefits
• 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. • 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? • 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.
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