Staff Software Engineer, Anti-Fraud & Abuse

About the position

Augment Code is looking for a seasoned expert in fraud, abuse, or risk to help us scale responsibly as we bring the joy back to software engineering. This is a high-impact role at the intersection of security, infrastructure, and AI—perfect for someone who thrives on complex systems and solving adversarial challenges at scale.

Responsibilities

• Design, build, and operate detection and prevention systems to stop fraud and abuse across our platform
• Lead proactive investigations and adversary-hunting efforts to uncover novel threats and abuse patterns
• Analyze misuse of our products and services, including abuse targeting AI and LLM-powered systems
• Quantify and mitigate the financial and operational impact of abuse across our infrastructure
• Influence the design of features and systems to be resilient to abuse, from the ground up
• Partner with engineering, product, and security teams to deliver trustworthy and abuse-resistant experiences

Requirements

• Strong experience building or operating systems to detect and mitigate fraud, abuse, or financial risk
• Background in one or more of: threat intelligence, adversarial ML, trust & safety, security engineering, or FinTech risk/fraud analysis
• Familiarity with adversarial tactics, techniques, and procedures (TTPs), especially in SaaS or cloud-native environments

Nice-to-haves

• Experience securing or analyzing AI/ML systems, especially LLMs
• Experience preventing fraud in AI, gaming, or similar industries
• Experience with rapidly scaling startups
• Experience with LLMs

Benefits

• Flexible work hours
• Competitive salary & Equity
• Tools Stipend
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Unlimited Paid Time Off + Holidays
• Numerous company social events