Security Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Security Engineer (AI): Defending 's platform from exploitation by detecting and shutting down phishing deployments, preventing cryptomining, stopping LLM token farming, and protecting users. Focus on building guardrails for AI-generated code, detecting prompt injection attacks at scale, and using LLMs as a defensive tool against abuse.
Location: Must be based in or willing to work from the Foster City, CA office three days a week (Monday, Wednesday, and Friday).
Salary: $210K – $265K
Company
is the agentic software creation platform that enables anyone to build applications using natural language.
What you will do
- Design and implement LLM guardrails that detect abuse scenarios in AI-generated code and agent interactions.
- Build AI-powered detection systems that use LLMs to identify malicious patterns, classify threats, and automate response decisions.
- Build and operate abuse detection systems that identify phishing, cryptomining, account takeover, and financial fraud across millions of daily user actions.
- Design automated response mechanisms that enforce platform policies without manual intervention.
- Analyze attack patterns using BigQuery and Hex, turning investigation findings into new detection rules.
- Maintain and extend internal detection tools that continuously monitor user activity.
Requirements
- 4+ years of experience in security engineering, anti-abuse, trust & safety, or fraud detection.
- Strong programming skills in Python and/or TypeScript for building detection systems and automation.
- Experience with SQL and data analysis at scale (BigQuery, Snowflake, or similar).
- Experience building or fine-tuning ML/LLM-based classifiers for security or abuse detection.
- Familiarity with prompt injection, jailbreaking, and other LLM-specific attack vectors.
- Clear communication skills for working across Security, Support, Legal, and Engineering teams.
Nice to have
- Experience at a platform company dealing with user-generated content or compute abuse (hosting providers, cloud platforms, developer tools).
- Background in fraud detection, payment abuse, or financial crime.
- Familiarity with device fingerprinting, IP reputation, and email validation services.
- Experience with CI/CD security tooling (SAST, SCA, Dependabot, Snyk).
- Knowledge of container security, Linux internals, or cloud infrastructure (GCP preferred).
Culture & Benefits
- Competitive Salary & Equity
- 401(k) Program with a 4% match (*US Only*)
- Health, Dental, Vision and Life Insurance
- Flexible Time Off (FTO) + Holidays
- Autonomous Work Environment
- Quarterly Team Gatherings
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