Senior Software Engineer, Generative AI

Genuine Parts Company, founded in 1928 and based in Atlanta, Georgia, is a leading specialty distributor of automotive and industrial replacement parts with over 10,000 global locations and 60,000 employees. The GPC Global Technology Center in Krakow, established in 2022, supports the company's digital transformation by developing advanced technology solutions across e-commerce, data platforms, supply chain, selling systems, and cyber security.

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 4-5 years of full-stack software development experience focusing on Python with production lifecycle expertise.
• Experience with JavaScript (preferably React) is a plus.
• Proficiency with Google Cloud Platform (GCP) or other major cloud platforms (e.g., AWS, Azure).
• Excellent communication, collaboration, and problem-solving skills.
• Passion for learning and driving innovation.
• Experience with Generative AI, deploying and supporting Large Language Models, and building Data Science solutions is a major advantage.

Independent Execution:

• Execute tasks and projects independently from inception to completion.
• Demonstrate problem-solving skills and resourcefulness.
• Take ownership of responsibilities and deliverables.
• Design and whiteboard solutions collaboratively.

Generative AI Exploration:

• Investigate and apply Generative AI methodologies.
• Collaborate with teams to determine suitable applications of Generative AI for business needs.

Cloud Solutions Development:

• Design and implement cloud solutions on Google Cloud Platform (GCP) and Vertex AI.
• Guide development lifecycle from design to production deployment.
• Collaborate on innovative solution development.

Continuous Learning and Improvement:

• Stay informed on emerging technologies and industry trends.
• Foster a culture of curiosity, experimentation, and growth.

GPC is an equal opportunity employer and conducts its business without regard to protected characteristics such as sex, race, religion, national origin, citizenship status, age, disability, military status, or veteran status. Employment decisions are based on ability, experience, and conduct.