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About This Role
Replit is seeking a Senior Software Engineer for the Risk team to defend the platform from exploitation, detect and shut down phishing deployments, and prevent cryptomining on free-tier infrastructure. The role involves building guardrails for AI-generated code, detecting prompt injection attacks, and using LLMs as a defensive tool against abuse. The ideal candidate has experience in security engineering, anti-abuse, trust & safety, or fraud detection, and strong programming skills in Python and/or TypeScript. The role requires collaboration with cross-functional teams and adapting to adversarial behavior.
Key ResponsibilitiesAI-extracted
- 1Design and implement LLM guardrails that detect abuse scenarios in AI-generated code and agent interactions
- 2Build AI-powered detection systems that use LLMs to identify malicious patterns, classify threats, and automate response decisions
- 3Build and operate abuse detection systems that identify phishing, cryptomining, account takeover, and financial fraud across millions of daily user actions
- 4Own the full abuse response lifecycle: detection, investigation, enforcement, and handling appeals alongside Support and Legal
- 5Analyze attack patterns using BigQuery and Hex, turning investigation findings into new detection rules
RequirementsAI-extracted
- 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
Perks & BenefitsAI-extracted
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