Senior AI Engineer

SecurityScorecard • Austin, TX

3d • $155,000 - $185,000

About The Position

About SecurityScorecard: 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,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of the World’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.” SecurityScorecard is proud to be funded by world-class investors including 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.

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

Nice To Haves

• 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

Responsibilities

• 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

Benefits

• Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 251-500 employees