Senior AI Engineer

SecurityScorecard
$155K - $185K/yr

Tech Stack

About the Role

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

We are hiring a Senior AI Engineer to design, build, and ship customer-facing AI-powered product features at the intersection of LLMs, distributed systems, and security. You will architect agentic workflows and integrate foundation models into products security teams depend on.

Responsibilities

  • Design and deploy AI-driven product features using TypeScript, Go, and AWS with end-to-end ownership
  • Architect agentic workflows and LLM pipelines for security intelligence automation
  • Integrate foundation models into existing products while managing latency, cost, and output quality
  • Leverage AI-native development tools as core workflow components
  • Conduct architecture and code reviews focused on production reliability
  • Collaborate with product and design teams to translate user needs into AI experiences
  • Own projects from conception through production monitoring and iteration
  • Stay current with evolving AI tooling and foundation model landscape

Required Qualifications

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

Nice to Have

  • Agentic AI systems, multi-agent orchestration, or RAG experience
  • LLM evaluation frameworks and AI observability familiarity
  • Cybersecurity or threat intelligence background
  • High-scale data systems experience
  • Full-stack delivery capability

Tech Stack

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

Location

Hybrid, 2 days per week in Austin, TX office.

Compensation

Base salary range: $155,000 - $185,000 plus bonus.

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