Software Engineer, Fraud

Recruiting from Scratch; New York (NY); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Bi-annual bonuses

Relocation assistance

Housing stipend

Meal stipends

Health/dental/vision

Fitness membership

Lifestyle perks

Job summary

Recruiting from Scratch seeks a Software Engineer, Fraud to help protect a high-growth AI platform across its San Francisco or New YorkCity offices. You will design and deploy fraud detection, identity verification, and abuse-prevention systems at scale.

You’ll partner with product and engineering, own large end-to-end risk initiatives, and balance security with user experience in a fast-moving environment. Relocation and housing stipends are available as part of the package.

Qualifications

• 4+ years of experience building production backend systems.
• Strong engineering fundamentals with scalable system design.
• Experience with fraud detection, abuse prevention, or trust & safety systems preferred.
• Ability to identify patterns in complex systems and translate them into technical solutions.
• High ownership mindset in fast-moving, ambiguous environments.

Responsibilities

• Design and build fraud detection and prevention systems across surfaces, including identity verification and platform abuse.
• Identify fraud patterns and translate them into scalable backend systems, tools, and workflows.
• Partner closely with product and engineering to define fraud strategy and prioritize high-impact initiatives.
• Develop systems that detect suspicious behavior, mitigate risk, and reduce fraudulent activity in real time.
• Improve visibility into fraud trends, risk exposure, and system effectiveness through monitoring and analytics.
• Operate autonomously in ambiguous environments, owning large problem areas end-to-end.
• Balance security, user experience, and operational efficiency when designing fraud prevention systems.

Skills

Backend system design

Fraud detection experience

Data-driven applications

Job description

Title: Software Engineer, Fraud

Location: San Francisco or New York City

Company Stage: Series C / Late-Stage (AI / Enterprise)

Office Type: Onsite (5 Days a Week)

Company Description

This high-growth AI company is building the infrastructure that powers how human expertise is leveraged to train and improve frontier AI systems. With a large global network and partnerships with leading AI labs and enterprises, the platform operates at massive scale, enabling real-world workflows that directly shape the future of AI. Backed by top-tier investors and operating profitably, the company is entering its next phase of growth, focused on reliability, trust, and platform integrity.

What You Will Do

• Design and build fraud detection and prevention systems across key surfaces, including identity verification and platform abuse


• Identify fraud patterns and translate them into scalable backend systems, tools, and workflows


• Partner closely with product and engineering to define fraud strategy and prioritize high-impact initiatives


• Develop systems that detect suspicious behavior, mitigate risk, and reduce fraudulent activity in real time


• Improve visibility into fraud trends, risk exposure, and system effectiveness through monitoring and analytics


• Operate autonomously in ambiguous environments, owning large problem areas end-to-end


• Balance security, user experience, and operational efficiency when designing fraud prevention systems

Ideal Background

• 4+ years of experience building production backend systems


• Strong engineering fundamentals with experience in scalable system design and data-driven applications


• Experience working on fraud detection, abuse prevention, or trust & safety systems (preferred but not required)


• Ability to identify patterns in complex systems and translate them into technical solutions


• High ownership mindset with comfort operating in fast-moving, ambiguous environments


• Strong judgment in balancing risk, speed, and user experience

Preferred

• Prior experience building fraud, risk, or trust & safety systems at scale


• Familiarity with identity verification, anomaly detection, or behavioral analytics


• Experience working with large datasets, event streams, or real-time detection systems


• Background in high-growth startups or environments with rapid iteration cycles

Compensation and Benefits

• Bi-annual performance bonuses


• Relocation support (up to $15K) and housing stipend ($10K)


• Monthly stipends for meals, wellness, and personal expenses


• Premium health, dental, and vision coverage


• Fitness membership and additional lifestyle perks


• High-impact role with direct influence on platform integrity and financial outcomes

This role is ideal for engineers who want to work on high-stakes, real-world problems-protecting platform integrity, preventing fraud at scale, and building systems that safeguard millions in value while enabling rapid company growth.