Senior AI Engineer

🕒 April 3

🇺🇸 United States – Remote

💵 $160k - $185k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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SecurityScorecard

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

🔒 Cybersecurity

🏢 Enterprise

💰 $180M Series E on 2021-03

Cybersecurity • Enterprise

SecurityScorecard is a company that focuses on cybersecurity and risk management. It provides solutions for supply chain detection and response, third-party cyber risk management, and external attack surface management. By leveraging AI and security ratings, SecurityScorecard helps organizations improve their cybersecurity postures and manage risks effectively. The company's platform allows for monitoring and remediation of vulnerabilities, collaboration with vendors, and compliance with regulatory mandates. SecurityScorecard serves a diverse range of industries, including public sector, technology, healthcare, financial services, and more. Its comprehensive suite of tools and services, such as Security Ratings and MAX, empower organizations to proactively manage cyber risks and enhance their overall security structures.

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ Benefits

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