Senior AI Engineer Remote (US)

Overview SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint. Headquartered in New York City, our culture has been recognized by Inc Magazine as a Best Workplace, Crain’s NY as a Best Places to Work in NYC, and by Fast Company’s World’s Most Innovative Companies list for 2023. SecurityScorecard is funded by Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital. About the Role: We are looking for a Senior AI Engineer who ships. This is a hands-on builder role for an engineer who is as comfortable defining the architecture of an agentic workflow as they are reviewing the production code that runs it. You will work at the intersection of LLMs, distributed systems, and real customer problems, turning emerging AI capabilities into features that security teams rely on every day. What You\'ll Do 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 Required Skills and Experience 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 Nice to Have Experience with agentic AI systems, multi-agent orchestration, or retrieval-augmented generation (RAG) Familiarity with LLM evaluation frameworks and production observability for AI systems Background in cybersecurity, threat intelligence, or compliance-focused products Experience with high-scale data systems and large structured datasets Full-stack delivery experience and comfort working across the product surface Benefits Specific to each country, we offer a competitive salary, stock options, health benefits, and unlimited PTO, parental leave, tuition reimbursements, and more. The estimated total compensation range for this position is $160,000 - $185,000 (base plus bonus). Actual compensation is based on a variety of factors including skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may be eligible for annual performance-based incentive compensation awards and equity, among other company benefits. SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy), gender identity or expression, sexual orientation, age, marital status, veteran status, disability status or any other protected category in accordance with applicable law. We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact View email address on click.appcast.io. All information submitted as part of the application will be processed in accordance with the Company’s privacy policy and applicable law. SecurityScorecard does not accept unsolicited resumes from employment agencies and does not provide immigration sponsorship for this position. Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion is voluntary and will not be considered in hiring decisions. Any information you provide will be recorded and maintained in a confidential file. The policy includes categories and definitions related to protected veterans and disabilities, as required. Note on the form : Public burden statement: This survey should take about 5 minutes to complete. #J-18808-Ljbffr