Senior AI Engineer - Fintech Fraud Detection (Production)

Openkrill

United States

À distance

USD 140 000 - 210 000

Plein temps

14 jours+
Générateur de candidature

Une candidature conçue pour ce poste — un CV et une lettre de motivation personnalisés qui correspondent à l’offre.

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Résumé du poste

Carefull is seeking a Senior AI Engineer to join our Data team and build, evaluate, and improve AI-powered systems at the core of our product. You will own end-to-end features from problem understanding to deployment and measurement of impact.

You will design detection logic for fraud patterns affecting older adults, build data-enrichment pipelines, and optimize AI workflows for accuracy, latency, and cost, collaborating with cross-functional teams in a remote environment.

Qualifications

  • Strong Python skills and experience building data pipelines and production systems.
  • Hands-on experience building LLM applications in production: prompting, structured outputs, context management, and provider SDKs/APIs.
  • Comfort deploying and operating what you build on a cloud platform.

Responsabilités

  • Design and ship new AI-driven detection features from prototype to production.
  • Build data enrichment pipelines for real-world financial transaction data.
  • Research fraud patterns and translate understanding into scalable detection logic.
  • Create reproducible evaluations (test sets, metrics, error analysis) to measure improvements.

Connaissances

Python
LLM applications
Data pipelines
Production systems
Cloud deployment
English communication

Outils

AWS services
Langfuse
LangSmith

Description du poste

Carefull is seeking a Senior AI Engineer to join our Data team and build, evaluate, and improve AI-powered systems at the core of our product. You will own end-to-end features from problem understanding to deployment and measurement of impact.

You will design detection logic for fraud patterns affecting older adults, build data-enrichment pipelines, and optimize AI workflows for accuracy, latency, and cost, collaborating with cross-functional teams in a remote environment.

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