Informacje o stanowisku

Required Skills:

1. Python
2. Docker: The candidate should be proficient in Docker and capable of performing fundamental operations on containers, including building images, pushing them, and launching containers.
3. FastAPI: The project contains some legacy Django code and also utilizes FastAPI. Therefore, the candidate should be adept at working with API endpoints.
4. PostgreSQL: The current project employs PostgreSQL. Only SQL knowledge is necessary, so experience with Oracle or any other RDBMS is acceptable.
5. Azure: Specific knowledge of Azure is not required, as it is only used to host containers that will be pushed with Docker.
6. Kubernetes: Previous knowledge is not necessary, but it is a plus.
7. Jenkins
8. LLM/Prompt Engineering: This knowledge is essential for optimizations. Familiarity with LangChain is an additional advantage (usually acquired when learning Prompt Engineering).
9. pandas: Basic operations on data, which will be processed as dataframes.

,[Back-End Development: Design and build robust frameworks around AI agents within the Azure cloud environment., Performance Optimization: Diagnose and resolve performance issues related to chatbots, ensuring optimal functionality and efficiency., Python Development: Utilize Python frameworks effectively to contribute to the development and maintenance of backend systems., SQL Proficiency: Apply strong SQL knowledge to manage and manipulate databases, LLM and Prompt Engineering: Leverage general knowledge of Large Language Models (LLMs) and prompt engineering to enhance AI performance. Requirements: Python, Docker, FastAPI, PostgreSQL, LLM, AI, pandas, Azure, Kubernetes, Jenkins

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