W2 || AI Safety/Security Engineer

Hiring: AI Safety/Security Engineer

Location: Remote
Employment Type: Contract / W2
Experience: 8+ Years

Job Overview

We are looking for an AI Safety/Security Engineer to design, implement, and operate security guardrails for LLM-based and agentic AI systems. The role focuses on AI threat modeling, adversarial testing, runtime monitoring, red teaming, and safety controls for production AI applications.

Required Skills

• 8+ years of experience in Cybersecurity / AI Security / AI Safety
• Strong experience securing LLM-based and AI Agent systems
• Prompt Injection Detection, Jailbreak Resistance, PII Redaction
• LLM Input/Output Filtering and Safety Guardrails
• Tool-use constraints and API/function access controls
• Secret/credential protection and data exfiltration prevention
• AI Red Teaming / Adversarial Testing
• Multi-turn jailbreak and indirect prompt injection testing
• Security testing of RAG and tool-calling agents
• AI threat modeling and risk assessment
• Runtime AI safety monitoring and automated incident response
• Logging, alerting, blocking, throttling, and forensic analysis
• CI/CD automated safety gates and regression testing
• Strong understanding of Responsible AI, AI Governance, and AI Risk
• Financial services regulatory/compliance experience preferred

Responsibilities

• Design and operate technical guardrails for LLM and agentic AI applications
• Build adversarial evaluation and AI red-team testing harnesses
• Develop scenario-based test suites for prompt injection, jailbreaks, RAG attacks, tool misuse, and data exfiltration
• Define AI threat models and measurable safety acceptance criteria
• Implement runtime monitoring for anomalous agent behavior
• Conduct full-scope AI security assessments and document attack paths and vulnerabilities
• Maintain regression suites for known AI attack patterns
• Integrate safety controls and automated security gates into CI/CD pipelines
• Work with Blue Teams/SOC to improve AI threat detection and incident response
• Partner with Legal, Compliance, and Responsible AI teams on regulatory requirements
• Develop audit logging and explainability mechanisms for AI safety decisions
• Present security findings and mitigation recommendations to technical and executive stakeholders

Must Have: LLM/Agent Security + Prompt Injection + AI Red Teaming + Jailbreak Testing + RAG Security + Tool/API Security + PII/Data Protection + Runtime Monitoring + AI Threat Modeling.