AI Security Engineer

Tasks

• Apply secure coding practices
• Build RAG agent systems
• Conduct code reviews
• Design AI security solutions
• Develop SOC agent automation
• Develop and prototype LLM integrations
• Develop document processing pipelines
• Document and maintain production systems
• Implement AI security guardrails
• Industrialize PoC into robust products
• Integrate API and cloud services
• Maintain AI security knowledge base
• Maintain internal AI tools
• Manage secrets and dependencies
• Perform threat modeling
• Secure AI deployment pipelines
• Support PoC and technical proposals

Perks/Benefits

• N/A

Skills/Tech-stack

AI RMF | API Integration | AWS | Agent Frameworks | Azure | CI/CD | Code review | Containerization | Dependency management | DevOps | GCP | Guardrails | Infrastructure as Code | LLM | MITRE ATLAS | Monitoring | NIST AI | NIST AI RMF | OWASP Top | OWASP Top 10 | Python | RAG | Secrets management | Secure Coding | Threat modeling | Top 10 | “as-code”