AI Security Engineer
Core
Ensuring security, trust, and resilience of AI systems and products within a legal tech SaaS environment.
Role type
AI Security Engineer
Builds
Secure AI-enabled products, internal AI tools, agentic AI infrastructure, and security controls for LLM-connected applications.
Domain
Legal Technology, Cloud Security, AI/ML Security
Deliverable
production ML models | infrastructure
Required skills
AI/ML security risk assessment, LLM security (prompt injection, RAG poisoning, insecure outputs), application security (threat modeling, SAST/DAST, API security), secrets management, cloud security (Azure/AWS, IAM, Kubernetes), scripting and automation, AI governance frameworks.
Preferred skills
AI red teaming, adversarial ML testing, AI bug bounty programs, security-focused sales support.
Technologies
LangChain, RAG pipelines, vector databases, Azure OpenAI, Amazon Bedrock, Garak, PyRIT, Counterfit
Responsibilities
Identify and reduce risks across the AI lifecycle; strengthen defenses against AI-specific threats; build scalable AI security controls and testing pipelines; extend identity governance to AI agents; serve as a technical security partner for AI governance; represent AI security posture to stakeholders.
Seniority
Mid-level, hands-on IC
