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.
Experience the freedom of remote work from anywhere in Kyrgyzstan, whether it's the comfort of your home or our modern office in Bishkek.

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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

• 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

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