GenAI Full-Stack Engineer: Data Pipelines & AI

Ontologize, Inc.; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Total Rewards Program

Job summary

AIG is building a new GenAI-focused data engineering team in Atlanta. You will design, develop, and operate GenAI data pipelines to enable AI models and analytics for risk management and customer services. You will collaborate across teams to deliver scalable data solutions and drive business value.

The role emphasizes hands-on development, CI/CD, and API exposure, with opportunities to shape the data platform and adopt best practices in a large enterprise environment.

Qualifications

• Minimum of 3 years of professional software development experience.
• Design, develop and implement data processing pipelines in Palantir Foundry; Foundry experience is a plus.
• Strong proficiency in at least one high‑level programming language (Python, TypeScript, Java, JavaScript/React).
• Experience with testing frameworks (pytest, unittest).
• Experience with containerization and compute optimization.
• Build and maintain scalable APIs to expose data and functionalities.

Responsibilities

• Collaborate with stakeholders to identify and deliver innovative data solutions.
• Build and maintain GenAI data pipelines across the business.
• Partner with data architects and senior engineers to implement scalable designs.
• Work with analytics, application development, and data science teams to drive innovation.
• Deliver high-quality results on fast-paced schedules while upholding code standards.

Skills

Python

TypeScript

Java

JavaScript/React

Data pipeline development

CI/CD pipelines

3+ years software development

Problem solving

Tools

Palantir Foundry

CI/CD tooling

Docker

APIs

Job description

AIG is building a new GenAI-focused data engineering team in Atlanta. You will design, develop, and operate GenAI data pipelines to enable AI models and analytics for risk management and customer services. You will collaborate across teams to deliver scalable data solutions and drive business value.

The role emphasizes hands-on development, CI/CD, and API exposure, with opportunities to shape the data platform and adopt best practices in a large enterprise environment.