AI Security Engineer (Cybersecurity)

TL;DR

AI Security Engineer (Cybersecurity): Securing the design, deployment, and operation of AI systems across on-premise and cloud environments with an accent on infrastructure security, LLM guardrails, and AI supply chain integrity. Focus on assessing AI architectures against frameworks like MITRE ATLAS and NIST AI RMF, implementing secure-by-design patterns, and guiding cross-functional teams in mitigating AI-specific threats.

Location: Tartu / Tallinn, Estonia

Company

hirify.global is a leading gaming technology company founded in 1999, providing business intelligence-driven software and platform technology for regulated markets globally.

What you will do

• Review AI systems and infrastructure, including LLM deployments, gateways, and vector stores, to provide hardening recommendations.
• Assess and strengthen guardrails such as prompt-injection defenses, rate limiting, and authentication controls.
• Advise on secure-by-design AI architecture using frameworks like OWASP, MITRE ATLAS, and NIST AI RMF.
• Evaluate AI supply chain risks, including model provenance and SBOM/AIBOM compliance.
• Define security standards and reference patterns for secure AI operations across the business.
• Collaborate with the SOC to enhance logging, observability, and detection coverage for AI workloads.

Requirements

• Solid experience in infrastructure and security engineering, including Linux, networking, cloud, IAM, and container security.
• Hands-on experience with both self-hosted LLM deployments and cloud AI platforms.
• Knowledge of LLM-specific threats such as prompt injection, data poisoning, and insecure output handling.
• Familiarity with AI security frameworks like OWASP Top 10 for LLM, MITRE ATLAS, and ISO/IEC 42001.
• Experience working in regulated environments such as gaming, finance, or healthcare.
• Strong communication and documentation skills for cross-team collaboration.

Nice to have

• Practical experience building CI/CD security gates and guardrails.
• Proficiency in Python and Bash scripting.
• Experience securing agentic AI infrastructure and MCP tools.
• Familiarity with AIBOM/SBOM tooling and MLSecOps practices.

Culture & Benefits

• Opportunity to shape the AI security strategy of a leading global technology company.
• Collaborative environment working with specialized security teams and the AI Committee.
• Commitment to continuous learning and professional growth in emerging AI security topics.
• Inclusive workplace culture that values diversity and transparency.