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Senior AI Engineer

3 weeks, 2 days ago
United States
Full-time
Senior
AI Engineer
Software Development
AWS CI/CD ClickHouse Cybersecurity Docker Go JavaScript Kubernetes LLM PostgreSQL System Design Terraform TypeScript
Apply Now
SecurityScorecard

SecurityScorecard

SecurityScorecard is a cybersecurity company that provides a powerful AI-driven platform to identify and eliminate cyber risks across all attack surfaces.

IT Services
251-1K
Founded 2014
$292M raised
View All Jobs 37

Description

  • Design, build, and ship customer-facing AI-powered product features using TypeScript, Go, and AWS while owning quality and reliability end to end.
  • Architect and implement agentic workflows, LLM pipelines, and intelligent automation for security insight generation.
  • Integrate foundation models into existing product surfaces with attention to latency, cost, output quality, and evaluation.
  • Use AI-native development tools such as Cursor and Claude Code as part of the core engineering workflow.
  • Lead architecture and code reviews with a focus on reliability, security, and maintainability.
  • Partner with product and design to translate user needs into AI-driven product experiences.
  • Own projects from concept through production, including monitoring, iteration, and post-launch improvement.
  • Stay current on AI tooling and foundation model advancements and incorporate relevant developments into the roadmap.

Requirements

  • 5+ years of professional software engineering experience with a strong track record of 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, with AWS preferred.
  • Hands-on experience with CI/CD, containerization, including Docker and Kubernetes, and production deployment practices.
  • Strong computer science fundamentals, including systems design, data structures, and networking.
  • Fluency with AI-native development workflows and AI-assisted coding tools in day-to-day engineering.
  • Clear, direct communication with both technical and non-technical stakeholders.
  • Experience with agentic AI systems, multi-agent orchestration, or retrieval-augmented generation (preferred).
  • Familiarity with LLM evaluation frameworks and production observability for AI systems (preferred).
  • Background in cybersecurity, threat intelligence, or compliance-focused products (preferred).
  • Experience with high-scale data systems and large structured datasets (preferred).
  • Full-stack delivery experience and comfort working across the product surface (preferred).

Benefits

  • Estimated total compensation of $160,000 - $185,000 base plus bonus.
  • Annual performance-based incentive compensation awards.
  • Equity eligibility.
  • Competitive salary.
  • Stock options.
  • Health benefits.
  • Unlimited PTO.
  • Parental leave.
  • Tuition reimbursement.

Interested in this position?

Apply directly on the company website

Apply Now

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