AI Engineer

GPC Global Technology Center
  • Cracow
  • Post Date: October 6, 2024
    • 14078
  • Applications 0
  • Views 4
Job Overview

Kraków

About GPC Global Technology Center

Established in 1928, Genuine Parts Company (GPC) is a leading global service organization specializing in the distribution of automotive and industrial replacement parts. GPC’s commitment to innovation and technology is evident in the GPC Global Technology Center in Krakow, established in 2022. This center serves as a hub for research and development, supporting GPC’s digital transformation efforts. The center’s team of highly skilled IT engineers focuses on developing advanced technologies and solutions that enhance GPC’s operations and growth. Their work spans across various areas, including e-commerce and data platforms, supply chain solutions, selling systems, and cyber security. Learn more at genpt.com.

Position Purpose

We are seeking a highly skilled AI Engineer to join our Special Projects team, focusing on the exploration and implementation of Generative AI and other innovative new technologies. This role will involve actively participating in the design, development, and maintenance of software solutions that leverage Generative AI.

The ideal candidate for this role is a full-stack software engineer with a passion for innovation and a deep interest in integrating Generative AI into real-world applications. This candidate has experience in building scalable solutions across the technology stack, coupled with knowledge and experience using cloud platforms, particularly Google Cloud Platform (GCP). With a collaborative mindset, this individual thrives in a team environment, working closely with lead and senior engineers, product owner and data scientists to deliver high-quality solutions.

Proficiency in JavaScript for front-end development and Python for back-end development is essential, ensuring seamless integration across the stack. Excellent communication skills and a knack for problem-solving effectively contribute to the team’s success by translating complex technical concepts into actionable strategies.

Responsibilities

Software Development:

Write, review, and maintain code for software solutions that integrate Generative AI capabilities, ensuring adherence to best practices and project requirements. Develop front-end components and user interfaces using modern web technologies, ensuring a seamless user experience. Take an active role in the design and implementation of Cloud solutions, particularly on Google Cloud Platform (GCP) and Vertex AI, for assigned projects or components within the team. Actively participate in the full lifecycle of development, from initial design to production deployment, ensuring quality and efficiency. Take part in architecture and code discussions, providing constructive feedback and suggestions to peers to improve solutions’ and code quality.

Generative AI Exploration

Investigate and apply Generative AI methodologies to meet the company’s specific needs and challenges. Collaborate with cross-functional teams to determine the best applications of Generative AI for the business.

Continuous Learning And Improvement

Stay abreast of emerging technologies and industry trends to evolve the team’s capabilities continually. Foster a culture of curiosity and learning, encouraging experimentation and growth.

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field. Minimum of 1-3 years of experience in full-stack software development, with a strong focus on Python and JavaScript (React or similar), Cloud solutions and development-to-production lifecycle. Familiarity with Google Cloud Platform (GCP). Hands-on experience in building/deploying Data Science related solutions. Passion for learning and applying new technologies, with the ability to inspire and drive innovation within the team. Strong problem-solving skills and attention to detail. Excellent communication, collaboration, and problem-solving skills. Experience with Generative AI is a major plus. Experience with deploying and supporting Machine Learning/Large Language Models a major plus.

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