
Full-Stack Software Engineer - GenAI
American International Group, Inc.2 hours ago
Atlanta, GA, USAMid Level
Responsibilities
- Collaborate with stakeholders to identify and deliver innovative data solutions.
- Build and maintain GenAI data pipelines across the business using Palantir Foundry.
- Partner with data architects and senior engineers to implement scalable and sustainable technical designs.
- Collaborate with analytics, application development, and data science teams.
- Build and maintain scalable and reliable APIs for services and applications.
- Optimize code and data-processing workflows, including containerized parallel execution.
- Contribute to data-platform and application architecture.
- Participate in code reviews and maintain development and code-management standards.
- Set up, monitor, and troubleshoot E2E engineering pipelines.
- Deliver high-quality results on fast-paced schedules.
Requirements
- At least 3 years of professional software development experience.
- Strong proficiency in at least one high-level programming language, including Python, TypeScript, Java, or JavaScript/React.
- Experience designing, developing, and implementing data-processing pipelines; Palantir Foundry experience is preferred but not required.
- Ability to write clean, efficient, and well-documented code.
- Experience with testing frameworks such as pytest or unittest.
- Understanding of containerization and compute optimization.
- Experience building and maintaining scalable APIs.
- Experience with CI/CD pipelines and E2E engineering pipeline setup, monitoring, and troubleshooting.
- Ability to contribute to technical architecture, performance optimization, code reviews, and engineering best practices.
- Passion for innovative AI and Generative AI technologies is valued.
- Experience in financial services or insurance and familiarity with related data challenges is a plus.
Benefits
- Comprehensive benefits focused on health, wellbeing, financial security, and professional development.
- Primarily in-office work with an emphasis on in-person collaboration.
- Continuous learning and development opportunities.
- Inclusive workplace culture with Employee Resource Groups and cultural-awareness activities.
- Reasonable accommodations are available for applicants and employees with disabilities.
Tech Stack
Categories
Data EngineeringFull Stack