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

Senior AI Engineer responsible for designing, building, and shipping AI-powered features at SecurityScorecard. You’ll work at the intersection of LLMs, distributed systems, and customer needs, architect agentic workflows, integrate foundation models, and own projects end-to-end from concept to production while ensuring reliability, security, and maintainability.

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

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
•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

Pay and Benefits

Salary: USD 170,000 - 205,000 annually

Equity and Bonus:Equity

Perks:EquityHealth InsurancePaid LeaveParental Leave

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+ years

Skills:Communication

Languages:English

Tech Stack:TypeScriptGoAWSDockerKubernetesTerraformClickHousePostgreSQLCursorClaude Code

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: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

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
•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

Pay and Benefits

Salary: USD 170,000 - 205,000 annually

Equity and Bonus:Equity

Perks:EquityHealth InsurancePaid LeaveParental Leave

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+ years

Skills:Communication

Languages:English

Tech Stack:TypeScriptGoAWSDockerKubernetesTerraformClickHousePostgreSQLCursorClaude Code

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