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.
Nasze wymagania
Python
Docker: The candidate should be proficient in Docker and capable of performing fundamental operations on containers, including building images, pushing them, and launching containers.
FastAPI: The project contains some legacy Django code and also utilizes FastAPI. Therefore, the candidate should be adept at working with API endpoints.
PostgreSQL: The current project employs PostgreSQL. Only SQL knowledge is necessary, so experience with Oracle or any other RDBMS is acceptable.
Azure: Specific knowledge of Azure is not required, as it is only used to host containers that will be pushed with Docker.
Kubernetes: Previous knowledge is not necessary, but it is a plus.
Jenkins
LLM/Prompt Engineering: This knowledge is essential for optimizations. Familiarity with LangChain is an additional advantage (usually acquired when learning Prompt Engineering).
pandas: Basic operations on data, which will be processed as dataframes.
Długoterminową współpracę – oferujemy długotrwałe projekty, a po ich zakończeniu staramy się znaleźć inne, które będą dopasowane do Twoich umiejętności.