[Hiring] AI Security Specialist @Plata Card

Role Description

We are hiring an AI Security Engineer to join our Network & Infrastructure Security team. As Plata adopts AI across product features, developer workflows, and internal operations, this role exists to make that adoption safe by design.

You will own the AI Security program at Plata, partnering with product, infrastructure, and ML teams. The role is hands-on (you will build, integrate, and operate controls) and advisory (you will shape policy and educate teams) in roughly equal measure. A strong DevSecOps foundation is required, but day-to-day work is AI-first.

Challenges that await you:

• AI Security Program & Guidelines: Define and maintain Plata's AI security standards, including acceptable-use policies for AI dev tools, secure development guidelines for LLM-powered features, and data-handling rules for AI workloads.
• Securing Customer-Facing AI Features: Threat-model and review designs for LLM-powered product features. Implement and validate defenses against various vulnerabilities and risks.
• Securing Internal AI Tools, Agents & Dev Tooling: Set access boundaries and data-scope policies for internal LLM apps, maintain the approved list of AI dev tools, and educate engineers on safe-use patterns.
• AI Vendor & Supply Chain Risk: Evaluate AI vendors and model providers, review DPAs, data residency, retention, model provenance, and maintain the AI vendor inventory.
• Threat Modeling, Detection & IR: Run threat models for new AI features, provide recommendations, track remediation, and maintain an AI risk register.
• Collaboration, Education & Advocacy: Act as the in-house AI security expert, train developers and product teams, and stay current on the AI security landscape.

Qualifications

• 2+ years total in DevSecOps, Cloud / Infrastructure Security, or Application Security, with demonstrable hands-on AI security work.
• Working knowledge of LLM application security, including prompt injection and output handling.
• Hands-on experience with LLM APIs and agent or orchestration framework.
• Practical experience designing or evaluating AI guardrails.
• Ability to threat-model AI systems and translate threat models into concrete controls.
• Strong scripting skills in Python for building POCs, integrations, and guardrails.

Requirements

• Solid understanding of AWS security fundamentals.
• Working knowledge of Kubernetes security at the deployment level.
• CI/CD pipeline experience, preferably with GitLab CI.
• Familiarity with container security.
• Comfort with IaC (Terraform) at a review-and-recommend level.
• Understanding of common AppSec vulnerabilities and secure-coding fundamentals.

Benefits

• Relocation support to one of our hubs — Cyprus, Spain, Serbia, or Kazakhstan.
• Flexible work from one of our offices or remote.
• Healthcare Coverage.
• Education Budget for language lessons, professional training, and certifications.
• Wellness Budget for mental health and fitness activity reimbursements.
• Vacation policy: 20 days of annual leave and paid sick leave.