AI Platform Engineer — Real-Time Fraud (Equity)

DataVisor; Mountain View (CA); On-site; USD 130,000 - 250,000; Full time

Job summary

DataVisor is hiring a Software Engineer, Artificial Intelligence to architect the Intelligence Layer and Data Consortium. You will design, build, and operate distributed, production-grade services ingesting real-time signals from millions of users and enable agentic flows with LLMs.

This production software engineering role emphasizes strong software fundamentals, with ML concepts a plus. You will collaborate with Data Science and Solutions teams to integrate ML models, rule engines, and label

Qualifications

• 2 years of professional software engineering experience building and shipping production systems.
• Bachelor’s and Master’s degree in Computer Science (or a closely related field) with a focus in Machine Learning or Artificial Intelligence.
• System Architecture: distributed, cloud-native systems for high-throughput, low-latency applications; AWS and containerization (Docker/Kubernetes) required.
• Coding Proficiency: strong, production-grade skills in Python, plus at least one other language such as Java/Go/C.
• Big Data Technologies: Spark, Kafka, or Flink.
• Machine Learning Foundations: ML concepts including supervised vs. unsupervised, feature engineering, evaluation metrics (Precision/Recall, AUC).
• Collaboration & Ownership: cross-functional work, end-to-end ownership in fast-paced environments.

Responsibilities

• Consortium Data Engineering Architect and maintain high-throughput data pipelines (Spark, Kafka, Flink) to ingest real-time signals into the central intelligence graph.
• Design distributed systems to support a global data network with high TPS and low latency.
• Build AI applications and agentic flows using state-of-the-art LLMs to enable natural language interaction and automated fraud strategy recommendations.
• Own and extend the internal AI agent tools and workflows for rule/feature creation and alert analysis across environments.
• Develop LLMy workflows and analytics pipelines for large-scale label investigation and faster solution onboarding.
• Collaborate with Data Scientists to deploy and maintain ML pipelines (UML/SML) in production; security focus on PII privacy.
• Work with Data Science, Product, and Engineering teams to develop AI-powered features and workflows.

Skills

Python

Distributed systems

ML concepts

Education

Bachelor’s and Master’s in CS, ML/AI focus

Tools

Spark

Kafka

Flink

AWS

Docker

Kubernetes

Job description

DataVisor is hiring a Software Engineer, Artificial Intelligence to architect the Intelligence Layer and Data Consortium. You will design, build, and operate distributed, production-grade services ingesting real-time signals from millions of users and enable agentic flows with LLMs.

This production software engineering role emphasizes strong software fundamentals, with ML concepts a plus. You will collaborate with Data Science and Solutions teams to integrate ML models, rule engines, and label