AI/LLM Safety Engineer

Job not on LinkedIn

🔥 2 minutes ago

🌪️ Kansas – Remote

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⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 12%

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Logo of Propio Aruba Realty

Propio Aruba Realty

1 - 10 employees

💼 Consulting

⚖️ Legal

🏠 Real Estate

Consulting • Legal • Real Estate

Propio Aruba Realty is a real estate company based in Aruba that specializes in buying, selling, and renting residential and commercial properties. Offering services for property seekers looking for ideal locations and prices, Propio Aruba Realty serves both local and international clients. Their offerings include residential properties such as houses and apartments, commercial buildings, land, and business locations. The company provides detailed listings and assistance to guide clients to the perfect real estate solution.

📋 Description

• Own the safety of models and agents in production, focusing on AI Safety, Trust & Safety, and Responsible AI • Design and maintain adversarial prompt sets, scenario-based test suites, and regression suites • Validate every model and agent update before release • Lead red-teaming exercises covering jailbreaks, prompt injection, tool misuse, and data exfiltration • Document findings and drive issues through remediation and closure • Build and iterate on input/output filtering, tool-boundary constraints, action validation, sensitive-data redaction, and policy prompting • Integrate safety checks into CI/CD and runtime systems • Threat-model agentic scenarios involving tool-call boundaries, sandbox isolation, and least-privilege access • Prevent data exfiltration and irreversible actions through chained tool calls • Review reinforcement-learning environments and trajectory data with environment and agent engineering teams • Instrument AI features with structured logging, tracing, and metrics • Prepare test reports, evaluation summaries, and mitigation validation for governance reviews • Collaborate with Product, UX, Research, and Data teams on safety interactions and evaluation goals

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Software Engineering, Cybersecurity, or a related technical field—or equivalent practical experience • 4+ years building production software, with direct experience working on or securing ML/LLM systems • Strong software engineering skills and ability to write production-grade code, primarily Python • Solid understanding of LLMs and ML, including model operation, prompt engineering, fine-tuning safety implications, and RAG risks • Security mindset with demonstrated threat-modeling ability • Familiarity with access control, data retention, and incident response fundamentals • Familiarity with prompt injection, jailbreaks, data poisoning, supply-chain risk, and OWASP LLM Top 10 • Hands-on experience with safety evaluation or red teaming, including explaining a real finding and its remediation • Preferred: experience with garak, PyRIT, promptfoo, Giskard, and NeMo Guardrails • Preferred: publications, open-source contributions, or responsible disclosures in AI safety or security • Preferred: familiarity with NIST AI RMF, ISO/IEC 42001, and EU AI Act • Preferred: engineering experience with agents, RL environments, and/or tool use • Preferred: experience with MITRE ATLAS and STRIDE/PASTA

🏖️ Benefits

• Opportunities to learn, develop, and expand capabilities • Meaningful career growth opportunities • Opportunities to pursue leadership opportunities and expand career path • Support for professional growth and innovation • Opportunity to make a meaningful impact • Flexible, empowered decision-making and ownership of initiatives

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