Software Engineer - Fraud, Payments

Reposted Yesterday
Be an Early Applicant
Palo Alto, CA
In-Office
180K-440K
Senior level
Information Technology
The Role
This role focuses on designing and implementing fraud detection systems for a payments platform, ensuring user protection from fraud and risk.
Summary Generated by Built In
About xAI

xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

About the role

We’re looking for an exceptional Software Engineer to focus on Fraud Engineering for a new payments platform being built at X which serves 600 million+ monthly users. This is a high-priority role responsible for protecting users and the platform from fraud, abuse, and risk.

You’ll play a key role in designing and implementing systems to detect, prevent, and mitigate fraud in real time—at scale. Working at the intersection of security, distributed systems, and product engineering, you'll help build trusted payments infrastructure from the ground up.


What You'll Do

  • Design and implement fraud detection and prevention systems that operate at global scale and low latency
  • Develop risk scoring engines, anomaly detection pipelines, and real-time enforcement mechanisms
  • Collaborate with product, compliance, trust & safety, and infrastructure teams to ensure a secure and seamless user experience
  • Monitor and analyze fraud trends, and proactively respond to new attack vectors
  • Define engineering standards around observability, reliability, and rapid response in fraud-related systems

Who You Are

  • Experienced: 7+ years of backend or systems engineering, with exposure to fraud, risk, or abuse prevention systems preferred
  • Skilled in distributed systems: You’ve built resilient, high-throughput systems that operate under real-time constraints
  • Security-conscious: You understand threat models, data sensitivity, and defense-in-depth principles
  • Analytical and pragmatic: You value simple, high-leverage solutions and adapt quickly to evolving challenges
  • Builder mentality: You’re excited by zero-to-one problems and proven ability to thrive in fast-paced environments. You are willing to work hard.

Bonus

  • Experience with real-time anomaly detection, machine learning for fraud, or rule-based risk systems
  • Familiarity with AML/KYC regulations, chargeback flows, or identity verification systems
  • Experience in fintech, trust & safety, or adversarial system design
  • Comfortable working in a zero-to-one environment with rapid iteration

Tech Stack (Optional)

  • Golang
  • Postgres
  • Kafka
  • Memcached

Interview Process

After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 30 minute phone interview, during which a member of our team will ask technical questions. If you clear the phone interview, you will proceed to next steps:

  1. Coding assessment in a language of your choice.
  2. Systems design: Translate high-level requirements into a scalable, fault-tolerant service.
  3. Project deep-dive: Present your past exceptional work to a small audience.
  4. Meet and greet with the wider team.

Our goal is to finish the main process within one week.


Location

The role is based in Palo Alto. Candidates are expected to be located near the Bay Area or open to relocation.

Annual Salary Range

$180,000 - $440,000 USD

Benefits

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

xAI is an equal opportunity employer.

California Consumer Privacy Act (CCPA) Notice

Top Skills

Go
Kafka
Memcached
Postgres
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: San Francisco, CA
96 Employees

What We Do

Understand the Universe

Similar Jobs

BlackRock Logo BlackRock

Vice President, Portfolio Design Sales Specialist

Big Data • Cloud • Fintech • Financial Services • Conversational AI
In-Office
4 Locations
100K-110K Annually

Hex Logo Hex

Cloud Security Engineer

Artificial Intelligence • Big Data • Software • Analytics • Business Intelligence • Big Data Analytics
Remote or Hybrid
3 Locations
180K-220K

Hex Logo Hex

First Lawyer

Artificial Intelligence • Big Data • Software • Analytics • Business Intelligence • Big Data Analytics
Hybrid
San Francisco, CA, USA
180K-220K

SoFi Logo SoFi

Director, Global Payroll and Equity

Fintech • Mobile • Software • Financial Services
Easy Apply
Hybrid
4 Locations

Similar Companies Hiring

Axle Health Thumbnail
Logistics • Information Technology • Healthtech • Artificial Intelligence
Santa Monica, CA
17 Employees
Scrunch AI Thumbnail
Software • SEO • Marketing Tech • Information Technology • Artificial Intelligence
Salt Lake City, Utah
Standard Template Labs Thumbnail
Software • Information Technology • Artificial Intelligence
New York, NY
10 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account