Job Details

Junior Python Developer at Sber for developing LLM agents and RAG systems. Requires experience with LLMs, Python, LangChain, and vector databases. Location: Yekaterinburg.

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.

Experience with LLMs (OpenAI GPT, GigaChat, Llama, Mistral, etc.) for at least 1 year. Understanding of prompt engineering and ability to construct queries to models. 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).