Senior AI Engineer

🕒 Abril 3

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $160.000 - $185.000 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

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SecurityScorecard

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2013

💼 Consultoria

🏥 Saúde

🛡️ Seguros

💰 $180.000.000 Series E em 2021-03

Consulting • Healthcare • Insurance

SecurityScorecard é uma empresa focada em cibersegurança e gestão de riscos. Ela oferece soluções para detecção e resposta na cadeia de suprimentos, gestão de riscos cibernéticos de terceiros e gestão da superfície de ataque externa (EASM). Ao aliar IA e ratings de segurança, a SecurityScorecard ajuda as organizações a aprimorar sua postura de cibersegurança e gerenciar riscos de forma eficaz. A plataforma da empresa permite monitoramento e remediação de vulnerabilidades, colaboração com fornecedores e conformidade com exigências regulatórias. A SecurityScorecard atende a uma ampla variedade de setores, incluindo setor público, tecnologia, saúde, serviços financeiros e outros. Seu conjunto abrangente de ferramentas e serviços, como Security Ratings e MAX, capacita as organizações a gerenciar proativamente riscos cibernéticos e a fortalecer sua estrutura geral de segurança.

Descrição

• Design, build, and ship customer-facing AI-powered product features using TypeScript, Go, and AWS, owning quality and reliability end-to-end • Architect and implement agentic workflows, LLM pipelines, and intelligent automation that help customers surface faster, more actionable security insights • Integrate foundation models into existing product surfaces with a practical eye toward latency, cost, output quality, and evaluation • Use AI-native development tools (Cursor, Claude Code, and similar) as a core part of your workflow, setting the standard for how this team builds • Lead architecture and code reviews with a focus on production-grade reliability, security, and maintainability • Partner with product and design to translate user needs into compelling AI-driven experiences, contributing product judgment alongside technical execution • Own projects end-to-end from concept through production, including monitoring, iteration, and improvement post-launch • Stay current with the AI tooling and foundation model landscape and bring relevant advances into our roadmap and practices

🎯 Requisitos

• 5+ years of professional software engineering experience with a strong track record shipping customer-facing product features • 2+ years of hands-on experience building AI-powered applications in production, including LLM integration, prompt design, and output evaluation • Proficiency in TypeScript and strong backend engineering fundamentals • Demonstrated ability to own complex projects end-to-end across the full software development lifecycle • Experience designing and operating distributed systems in cloud environments (AWS preferred) • Hands-on experience with CI/CD, containerization (Docker, Kubernetes), and production deployment practices • Strong computer science fundamentals including systems design, data structures, and networking • Fluency with AI-native development workflows including AI-assisted coding tools as part of day-to-day engineering • Clear, direct communication with both technical and non-technical stakeholders.

🏖️ Benefícios

• Competitive salary • Stock options • Health benefits • Unlimited PTO • Parental leave • Tuition reimbursements