Cloud Native Java Engineer with AI Integration Focus

Overview

Full Time

Skills

FOCUS
Spring Framework
mvc
Java
Artificial Intelligence
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Large Language Models (LLMs)
Conflict Resolution
Problem Solving
Communication
Cloud Computing
Kubernetes
Docker
Microservices
Collaboration

Job Details

We seek a highly skilled Java Engineer with expertise in cloud computing and a strong focus on integrating AI capabilities into our projects. The ideal candidate will possess robust proficiency in Java and its frameworks, coupled with a deep understanding of at least one major cloud provider.

Additionally, familiarity with Large Language Models (LLM) and Retrieval Augmented Generation (RAG) is essential for seamlessly integrating AI capabilities.

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#LI-DNI#July-Referral-Digest-GE

Responsibilities
  • Facilitate development and deployment of cloud-native solutions, highlighting AI integration in our project
  • Architect and launch AI-driven applications, leveraging Java frameworks such as Spring (Boot, MVC, Data)
  • Integrate Large Language Models (LLM) and Retrieval Augmented Generation (RAG) into projects to enhance language understanding and generation capabilities
  • Team up with various cross-functional teams to comprehend project objectives and convert them into AI-driven technical resolutions
  • Implement AI-based features and functionalities, utilizing cloud-native architectures and industry-standard practices
  • Write maintainable and well-documented code, adhering to coding standards and best practices
  • Stay updated with the latest advancements in Java, cloud computing, AI, and Cloud Native architectures, and proactively suggest innovative solutions to enhance our AI capabilities

Requirements
  • 2+ years of expertise in Java programming language, with experience in AI integration
  • Proficiency in cloud computing with hands-on experience in major cloud platforms such as AWS, Azure, or Google Cloud Platform
  • Familiarity with Large Language Models (LLM) and Retrieval Augmented Generation (RAG)
  • Excellent problem-solving abilities and the capability to effectively collaborate within a team setting
  • Superior communication skills and the competence to seamlessly explain complex technical concepts to non-technical stakeholders

Nice to have
  • Knowledge of Cloud Native architectures and experience with tools like Kubernetes, Docker and microservices

EPAM Georgia is a team of innovators united by a passion for technology. The dynamic and inclusive culture we embrace helps positively impact our communities, clients, and employees. Here you will collaborate with multi-national teams, contribute to numerous cutting-edge projects, deliver the most creative solutions, and have an opportunity to learn. Our people are at the heart of our success, and we are proud to provide talents with a solid ground to develop and grow.
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