GenAI Full-Stack Engineer: Data Pipelines & AI

AIG PC Global Services, Inc.

Atlanta (GA)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

American International Group (AIG) invites you to join a groundbreaking GenAI team in Atlanta, shaping how AI can be applied in insurance and beyond. As a Senior Data Engineer, you will design, develop and operationalize GenAI data pipelines enabling advanced models and analytics, collaborating across analytics, application development and data science.

This role emphasizes scalable, secure, and sustainable data architectures, with opportunities to influence data platform design, participate in

Qualifications

  • 3+ years of professional software development experience.
  • Experience designing and implementing data processing pipelines.
  • Strong programming skills in Python, TypeScript, Java, or JavaScript/React.
  • Experience with testing frameworks (pytest, unittest).
  • Experience with CI/CD pipelines and containerization.

Responsibilities

  • Collaborating with stakeholders to deliver innovative data solutions that meet evolving business needs.
  • Build and maintain GenAI data pipelines across the business.
  • Partner with data architects and senior engineers to ensure scalable designs.
  • Work with analytics, application development, and data science teams to drive innovation.
  • Deliver high-quality results on fast-paced schedules while maintaining development standards.

Skills

Python
TypeScript
Java
JavaScript/React
CI/CD
Data pipelines
APIs
Code reviews

Tools

Palantir Foundry

Job description

American International Group (AIG) invites you to join a groundbreaking GenAI team in Atlanta, shaping how AI can be applied in insurance and beyond. As a Senior Data Engineer, you will design, develop and operationalize GenAI data pipelines enabling advanced models and analytics, collaborating across analytics, application development and data science.

This role emphasizes scalable, secure, and sustainable data architectures, with opportunities to influence data platform design, participate in

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