Waabi
Applied AI Security Engineer
About this role
Waabi seeks an Applied AI Security Engineer to establish security controls and governance for the company's AI-native operations. You'll design layered guardrails, audit AI tool integrations, and partner across teams to enable safe AI adoption while maintaining access to sensitive systems and data.
What you'll do
- Audit current AI tool usage and map data access points to sensitive systems for policy definition
- Design and implement system prompts, permission scoping, and sandboxing patterns to constrain AI behavior
- Maintain inventory of MCP servers and AI-to-service connections with clear data access models
- Collaborate with cross-functional teams to integrate secure-by-default AI patterns into workflows
- Evaluate new AI tools and integration requests, determining secure deployment approaches
- Red-team and continuously test guardrails to identify and close security gaps
What they're looking for
- Software development and API/service architecture fundamentals
- AI/LLM security (prompt injection, jailbreaking, attack techniques)
- System design and access control implementation
- Automotive security standards (UNECE R155, ISO 26262)
- Model Context Protocol (MCP) or similar agent frameworks
- Security documentation and policy communication
- Hands-on experience with Claude, Copilot, Gemini, or similar AI tools
- Red-teaming and penetration testing mindset
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Waabi
Waabi develops autonomous vehicle systems and self-driving technologies. The company is hiring engineers across reliability, safety, systems architecture, calibration, and verification to enhance the performance, safety, and operational effectiveness of their autonomous transportation platforms.
- Website
- waabi.ai
Likely interview questions
- Walk us through your experience building or auditing API integrations—how would you approach mapping data access for AI tools connecting to sensitive systems?
- Tell us about a time you used AI tools in a business workflow. What security concerns crossed your mind, and how would you mitigate them at scale?