Job Details

Junior Python Developer at Sber for developing LLM agents and RAG systems. Requires 1+ year of experience with LLMs and Python, familiarity with LangChain, vector databases, and API integration. Location: Yekaterinburg.

Responsibilities: - Development of LLM agents for process automation (chatbots, document processing). - Creation and optimization of RAG systems (knowledge base search, corporate data). - Integration with large language models (GigaChat, local models). - Writing APIs for interaction with external services.

Requirements: - 1+ year of experience with LLMs (OpenAI GPT, GigaChat, Llama, Mistral, etc.). - Understanding of prompt engineering and ability to construct model queries. - Proficient in Python (OOP, asynchronous programming, FastAPI/Flask). - Practical experience with LangChain (agents, chains, RAG). - Experience with vector data representation in the context of RAG systems (ChromaDB, FAISS, Qdrant, Weaviate, etc.). - Ability to connect and use REST APIs (including GigaChat API, OpenAI API, etc.). - Basic understanding of vector embeddings (OpenAI Embeddings, Sentence Transformers).