SecurityScorecard

3 months ago

Senior AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

A hands-on Senior AI Engineer role at SecurityScorecard designing and shipping customer-facing AI-powered features, architecting agentic workflows and LLM pipelines, integrating foundation models, and leading production-grade architecture reviews. You will work at the intersection of LLMs, distributed systems, and security-focused product challenges, using TypeScript, Go, and AWS to deliver reliable, scalable AI capabilities.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key 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
•Lead architecture and code reviews with a focus on production-grade reliability, security, and maintainability
•Own projects end-to-end from concept through production, including monitoring, iteration, and improvement post-launch

Pay and Benefits

Perks:Health InsurancePaid LeaveParental LeaveEquity

Key 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
•Experience designing and operating distributed systems in cloud environments (AWS preferred)
•Hands-on experience with CI/CD, containerization (Docker, Kubernetes), and production deployment practices

Experience:5+ yearsAIDistributed systemsCloudTypeScriptGoAWS

Skills:Communication

Languages:English

Tech Stack:TypeScriptGoAWSDockerKubernetesTerraformClickHousePostgreSQL

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

SecurityScorecard

Provides a cybersecurity ratings platform that continuously assesses and monitors organizations' and third-party vendors' security posture using external data and analytics to help enterprises manage risk, prioritize remediation, and inform vendor risk decisions.

Industry: Cybersecurity

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: New York, United States

Founded: 2013

Website LinkedIn

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SecurityScorecard

3 months ago

Senior AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key 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
•Lead architecture and code reviews with a focus on production-grade reliability, security, and maintainability
•Own projects end-to-end from concept through production, including monitoring, iteration, and improvement post-launch

Pay and Benefits

Perks:Health InsurancePaid LeaveParental LeaveEquity

Key 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
•Experience designing and operating distributed systems in cloud environments (AWS preferred)
•Hands-on experience with CI/CD, containerization (Docker, Kubernetes), and production deployment practices

Experience:5+ yearsAIDistributed systemsCloudTypeScriptGoAWS

Skills:Communication

Languages:English

Tech Stack:TypeScriptGoAWSDockerKubernetesTerraformClickHousePostgreSQL

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

SecurityScorecard

Industry: Cybersecurity

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: New York, United States

Founded: 2013

Website LinkedIn