Full-Stack Software Engineer - GenAI

AIG • Atlanta, GA

3d • Onsite

About The Position

At AIG, we are making long-term investments in a brand-new, innovative Generative AI team, designed to explore new possibilities for how artificial intelligence can be applied in insurance and beyond. With the support and investment needed to explore new frontiers in generative AI, you’ll be working alongside talented colleagues, innovating and leading projects that will transform how we manage risk and serve our customers. This team is central to our vision of the future and the core of our business offering. We will incorporate best-in-class engineering and product management principles and your guidance and collaboration will be critical to its success. To rapidly advance and innovate, we need your skills and expertise to build and scale world-class products. If you’re excited by the opportunity to create meaningful impact, we’d love to hear from you.
AIG is a leading global insurance organization providing a wide range of property casualty insurance and other financial services. We provide world-class products and expertise to businesses and individuals in approximately 190 countries and jurisdictions. At AIG, we’re reshaping how the world manages risk, and we’re inviting you to be a key part of that transformation. As a Senior Data Engineer for GenAII you will have the opportunity to make a meaningful impact, leveraging and further developing your skills to guide groundbreaking AI initiatives. If you’re looking for a place to grow your career and where your contributions will shape the future, AIG is where you belong.

Requirements

• Be curious and motivated to learn new things
• Design, develop and implement data processing pipelines in Palantir Foundry. Prior experience in Foundry is a big plus but not required.
• Minimum of 3 years of professional software development experience.
• Strong proficiency in at least one high-level programming language (Python, Typescript, Java, JavaScipt/React), a strong background in Typescript is a plus but not required.
• Write clean, efficient, and well-documented code.
• Experience with testing frameworks (pytest, unittest).
• An understanding of containerization and compute optimization
• Build and maintain scalable and reliable APIs to expose data and functionalities to other services and applications.
• Identify and implement performance optimization for existing code and data processing workflows, including leveraging containerization technologies for parallel execution.
• Contribute to the design and architecture of our data platform and applications.
• Participate in code reviews to ensure code quality and adherence to best practices.
• Experience with CI/CD pipelines
• Experience setting up E2E Engineering pipeline, monitoring, and troubleshooting.

Nice To Haves

• You are passionate about exploring innovative AI and Generative AI technologies, using them to drive impactful solutions within large-scale enterprise environments.
• You would enjoy working within the financial services or insurance industry and understand the unique data challenges these sectors face.
• Veterans are encouraged to apply.

Responsibilities

• Collaborating with stakeholders to identify and deliver innovative data solutions that meet the evolving needs of the business.
• Building and maintaining GenAI data pipelines across the business
• Partnering with data architects and senior engineers to implement best practices, ensuring sustainable and scalable technical designs.
• Working closely with analytics, application development, and data science teams to foster collaboration and drive innovation.
• Delivering on-time, high-quality results on fast-paced schedules while maintaining rigorous standards for development and code management.

Benefits

• Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security—as well as your professional development

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed