Sardine Inc. logo

Forward Deployed AI Engineer

Job Overview

Location

North America

Job Type

Full-time

Category

Data Engineer

Date Posted

April 28, 2026

Full Job Description

đź“‹ Description

  • • As a Forward Deployed AI Engineer at Sardine Inc., you will serve as the critical bridge between cutting-edge AI capabilities and clients’ most complex fraud and compliance challenges, embedding directly with customers to translate operational pain points into production-ready AI solutions.
  • • Day to day, you will gather client requirements, design and deploy custom AI agents for fraud prevention and fincrime workflow automation, utilize prompt engineering and fine-tuning to optimize model performance, establish AI risk metrics and evaluation pipelines, and collaborate with internal engineering and product teams to scale models into production.
  • • Sardine is a leader in fraud prevention and AML compliance, trusted by over 300 banks, retailers, and fintechs globally, with $145M in funding from top-tier investors including Andreessen Horowitz, Visa, and Google Ventures. The company operates with a remote-first culture across hubs in the Bay Area, NYC, Austin, Toronto, and SĂŁo Paulo, valuing performance over hours and extreme ownership.
  • • In this role, you will develop deep expertise in applied AI for financial crime prevention, gain end-to-end ownership of client-facing AI solution delivery, and grow your impact by shaping how advanced machine learning drives tangible business outcomes across global enterprises.

Skills & Technologies

Python
Data Science
Remote

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About Sardine Inc.

Sardine Inc. provides real-time fraud prevention and compliance infrastructure for fintechs, crypto platforms, and digital banks. Its API-based platform combines device fingerprinting, behavioral biometrics, transaction monitoring, and sanctions screening to detect and block fraud before funds move. The company serves payment processors, neobanks, and crypto exchanges, helping them reduce chargebacks, meet regulatory requirements, and onboard users faster while minimizing risk.

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