AI Security Engineer
Tasks
- Advise teams on secure AI design choices and risk trade offs
- Define logging and telemetry requirements
- Design security guardrails across AI lifecycle
- Embed AI security requirements into CI CD and MLOps pipelines
- Evaluate deploy and operate AI security controls
- Execute adversarial testing for AI applications
- Integrate AI security events into monitoring and response workflows
- Lead AI threat modeling and risk assessments
Perks/Benefits
- Career development
- Flexible vacation
- Flexible work options
- Hackathons
- Mentorship programs
- Recognition programs
- Virtual fitness classes
- Wellness programs
Skills/Tech-stack
AI Security | Adversarial Testing | Agentic Workflows | Application Security | CI/CD | Cloud Security | DLP | Data leakage | Input validation | Jailbreaks | LLM Firewalls | LLMs | Logging | MLOps | Model Serving | Model inversion | Model runtimes | Output Validation | Poisoning | Policy engines | Prompt injection | RAG | Risk Assessment | Secure SDLC | Security monitoring | Telemetry | Threat modeling | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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