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: 16 hours agoStatus: Live

Job Summary

Senior AI Engineer at SecurityScorecard hands-on builder shaping AI-powered features at the intersection of LLMs, distributed systems, and real customer problems. Design, implement, and ship customer-facing AI capabilities using TypeScript and Go on AWS; own end-to-end architecture, production readiness, and collaboration with product/design to deliver actionable security insights.

Location: Austin

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: 155,000 annually

Equity and Bonus:Equity

Perks:EquityHealth InsurancePaid LeaveParental Leave

Key Requirements

•5+ years of professional software engineering experience with a 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
•Demonstrated ability to own complex projects end-to-end across the full software development lifecycle
•Experience designing and operating distributed systems in cloud environments (AWS preferred)

Experience:5+ yearsCybersecuritySaaS

Skills:CommunicationCollaborationProblem-solving

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: 16 hours agoStatus: Live

Job Summary

Location: Austin

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: 155,000 annually

Equity and Bonus:Equity

Perks:EquityHealth InsurancePaid LeaveParental Leave

Key Requirements

•5+ years of professional software engineering experience with a 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
•Demonstrated ability to own complex projects end-to-end across the full software development lifecycle
•Experience designing and operating distributed systems in cloud environments (AWS preferred)

Experience:5+ yearsCybersecuritySaaS

Skills:CommunicationCollaborationProblem-solving

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