Cloud Native Python Engineer with AI Integration Focus
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
