Senior AI Engineer

About SecurityScorecard

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013, SecurityScorecard has been recognized as Fast Company's "World's Most Innovative Companies for 2023."

About the Role

This is a hands-on builder role focused on shipping customer-facing AI features. You will work across LLMs, distributed systems, and real security problems, integrating emerging AI capabilities into products that security teams depend on.

Responsibilities

• Design and build AI-powered product features using TypeScript, Go, and AWS with end-to-end ownership
• Architect agentic workflows and LLM pipelines that deliver actionable security insights
• Integrate foundation models into existing products with strong attention to latency, cost, and output quality
• Leverage AI-native development tools as a core part of your workflow
• Conduct architecture and code reviews focused on production reliability and security
• Partner with product and design teams to translate user needs into AI-driven experiences
• Own projects from concept through production monitoring and iteration
• Stay current with the evolving AI tooling and foundation model landscape

Required Experience

• 5+ years professional software engineering experience with a track record of shipping customer-facing product features
• 2+ years hands-on experience building production AI applications (LLM integration, prompt design, evaluation)
• Strong TypeScript proficiency with solid backend fundamentals
• Demonstrated ability to own complex projects end-to-end
• Experience designing and operating distributed systems in cloud environments (AWS preferred)
• CI/CD, Docker, Kubernetes, and production deployment experience
• Strong computer science fundamentals
• Fluency with AI-assisted coding tools in your daily workflow
• Clear communication with technical and non-technical stakeholders

Nice to Have

• Experience with agentic AI systems, multi-agent orchestration, or RAG
• Familiarity with LLM evaluation frameworks and AI observability
• Cybersecurity, threat intelligence, or compliance product background
• High-scale data systems experience
• Full-stack delivery experience

Tech Stack

TypeScript/JavaScript, Go, AWS, Docker, Kubernetes, Terraform, ClickHouse, PostgreSQL

Compensation

Base salary range: $160,000 - $185,000 plus bonus.