Informacje o stanowisku

technologies-expected :

• Python
• Docker
• fastapi
• PostgreSQL
• LLM
• AI
• Pandas

• Azure Cosmos DB
• Kubernetes
• Jenkins

• 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.

• 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.

• Pracę zdalną / hybrydową
• Umowę B2B – elastyczność współpracy, prostota rozliczeń,
• Długoterminową współpracę – oferujemy długotrwałe projekty, a po ich zakończeniu staramy się znaleźć inne, które będą dopasowane do Twoich umiejętności.
• Klarowny i szybki proces rekrutacyjny

Poznań - Oferty pracy w okolicznych lokalizacjach