AI/LLM Safety Engineer

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🕒 Junho 26

🌪️ Kansas – Remoto

🌪️ Kansas – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Inteligência Artificial

👻 Score fantasma 34%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Propio Aruba Realty

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1 - 10 funcionários

💼 Consultoria

⚖️ Jurídico

🏠 Imobiliário

Consulting • Legal • Real Estate

Propio Aruba Realty é uma empresa imobiliária sediada em Aruba que se especializa na compra, venda e aluguel de imóveis residenciais e comerciais. Oferecendo serviços para aqueles que buscam propriedades em locais e preços ideais, a Propio Aruba Realty atende tanto clientes locais quanto internacionais. Suas ofertas incluem propriedades residenciais como casas e apartamentos, prédios comerciais, terrenos e locais para negócios. A empresa oferece listas detalhadas e assistência para guiar os clientes à solução imobiliária perfeita.

Descrição

• Design and maintain a safety evaluation framework—adversarial prompt sets, scenario-based test suites, and regression suites—so that every model and agent update is validated before it ships. • Lead structured red-teaming exercises covering jailbreaks, prompt injection, tool misuse, and data exfiltration; document findings and drive each issue through to remediation and closure. • Build and iterate on guardrail logic, including input/output filtering, tool-boundary constraints, action validation, sensitive-data redaction, and policy prompting. • Integrate safety checks into CI/CD and runtime so that unsafe behavior is intercepted before it reaches users. • Perform threat modeling for agentic scenarios: tool-call boundaries, sandbox isolation, and least-privilege access, with particular attention to preventing agents from exfiltrating data or executing irreversible actions through chained tool calls. • Conduct safety reviews of reinforcement-learning (RL) environments and trajectory data, partnering with environment and agent engineering teams to embed safety constraints directly into the environments themselves. • Instrument AI features for safety with structured logging, tracing, and metrics, enabling detection of unsafe patterns and regressions in production. • Prepare evidence for governance reviews—test reports, evaluation summaries, and mitigation validation—aligned with internal Responsible AI standards. • Collaborate with Product and UX to improve safety interactions (warnings, confirmations, refusal messaging, and feedback collection), and align evaluation goals with the Research and Data teams.

🎯 Requisitos

• 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 with the ability to write production-grade code (primarily Python), beyond scripting or notebook prototyping. • Solid understanding of LLMs and ML: how models work, prompt engineering, and the safety implications of fine-tuning and RAG (e.g., unsafe retrieval, tool misuse, and data exfiltration). • A security mindset with demonstrated threat-modeling ability; able to threat-model AI workflows and familiar with the fundamentals of access control, data retention, and incident response. • Familiarity with the LLM attack surface—prompt injection, jailbreaks, data poisoning, and supply-chain risk—and working knowledge of the OWASP LLM Top 10. • Hands-on experience with at least one of safety evaluation or red teaming, with the ability to walk through a real finding and how it was remediated.

🏖️ Benefícios

• Health insurance • Paid time off • Flexible work arrangements • Professional development • Stock options