> Markdown version of [/jobs/ext/4014895-ai-security-engineer-llm-genai-security](https://www.wearedevelopers.com/jobs/ext/4014895-ai-security-engineer-llm-genai-security). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Security Engineer - LLM & GenAI Security - **Company:** Pauwels Consulting - **Location:** Brussel, Belgium (Remote available) - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Cloud Computing, Cloud Computing Security, Cyber Security, Identity and Access Management, Role-Based Access Control, Software Engineering, Systems Integration, Large Language Models, Agentic-AI, AI Platforms, Devsecops - **Published:** October 30, 2026 - **Apply:** https://europa.eu/eures/portal/jv-se/jv-details/ZDczZmIxOGYtMjI5ZS00Y2E2LTliZWYtYzhjYzliOGNlNTIyIDM?lang=en ## About the Role * You have 3+ years of experience in security engineering covering cybersecurity, cloud security, IAM, or DevSecOps. * You possess 3+ years of experience integrating security controls within software development pipelines and cloud platforms. * You bring 1+ years of experience identifying security risks associated with LLMs, agents, and model supply chains. * You have 1+ years of experience conducting technical security testing and risk assessments. * You possess 1+ years of knowledge regarding GDPR, AI Act, or NIS2 frameworks. * You're proactive and solution-oriented with strong analytical and communication skills. * You have active knowledge of Dutch OR French (with good understanding of the other language), and English. Nice to Haves * Experience within the public sector or the G-Cloud environment. * Ability to translate technical findings into actionable measures for non-technical stakeholders. ## Description * Perform threat modeling, risk assessments, and security evaluations for GenAI, ML, and agentic AI solutions. * Develop security guardrails for identity management, least privilege, data protection, and prompt security. * Test for abuse scenarios such as prompt injection, data exfiltration, and unauthorized tool usage. * Integrate security requirements into sandboxes, gateways, CI/CD pipelines, and production platforms. * Design security monitoring and incident response protocols specifically for AI components. * Evaluate the supply chain risk of vendors, models, libraries, and external AI services.