6 дней назад
System & AI Security Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
System & AI Security Engineer (AI/Cybersecurity): Securing infrastructure, self-hosted and cloud-based LLM deployments, endpoint platforms, email gateways, and AI workloads with an accent on hardening, guardrails, identity management, and supply-chain security. Focus on reviewing AI systems, mitigating prompt injection and other LLM-specific threats, mapping controls to security frameworks, and improving detection and compliance in a regulated gaming environment.
Location: Tartu or Tallinn, Estonia
Company
is a gaming technology company providing software, services, content, and platform technology for regulated and regulating markets.
What you will do
- Review local, cloud, and agentic AI systems, including LLM deployments, gateways, vector stores, and MCP components.
- Design, implement, support, and improve EDR, proxy, email security, and endpoint-hardening technologies.
- Assess AI guardrails, authentication, rate limiting, input/output filtering, prompt-injection defenses, and other security controls.
- Recommend and prioritize infrastructure hardening for self-hosted and cloud-based LLMs and guide remediation.
- Evaluate AI supply-chain security, model provenance, AIBOM/SBOM coverage, dependencies, artifacts, logging, observability, and detection mapped to MITRE ATLAS.
- Support risk assessments, audits, compliance documentation, identity and secrets management, and secure adoption of agentic AI automation.
Requirements
- Relevant cybersecurity or information technology certifications, or equivalent verifiable experience.
- Experience with EDR solutions such as Defender for Endpoint, CrowdStrike, or SentinelOne, plus email security solutions.
- Strong infrastructure and security engineering experience across Linux, networking, cloud, IAM, container security, automation, and system hardening.
- Experience with self-hosted LLM deployments and cloud LLM platforms such as Azure Foundry, Amazon Bedrock, Google Vertex AI, Ollama, or LM Studio.
- Knowledge of LLM-specific threats, AI security frameworks, guardrail design, infrastructure-as-code, and CI/CD pipelines.
- Experience working in regulated environments such as gaming, finance, or healthcare, with strong documentation and collaboration skills.
Nice to have
- Experience building CI/CD security gates and guardrails.
- Python or Bash scripting experience.
- Hands-on experience securing MCP and agentic AI infrastructure and optimizing workflows with agentic AI.
- Familiarity with AIBOM/SBOM tooling, OWASP Dependency-Track, and CycloneDX.
- Relevant cloud or AI-security certifications.
Culture & Benefits
- Collaboration across security, application, AI, and wider business teams.
- Ownership, curiosity, proactive problem-solving, and continuous learning.
- Opportunity to shape secure AI adoption and 's AI security practices.
- Inclusive equal-opportunity workplace.
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