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Cloud Native Python Engineer with AI Integration Focus

Office in Kyrgyzstan
Python.ML
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We seek a highly skilled Python 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 Python 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.

Responsibilities
  • Facilitate development and deployment of cloud-native solutions, highlighting AI integration in our project
  • Architect and launch AI-driven applications, leveraging Python frameworks such as Django, Flask or FastAPI
  • Integrate Large Language Models (LLM) and Retrieval Augmented Generation (RAG) into ongoing and upcoming 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 Python, cloud computing, AI, and Cloud Native architectures, and proactively suggest innovative solutions to enhance our AI capabilities
Requirements
  • Proven expertise in Python programming language, with significant 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