Вакансии

Responsibilities: • Build AI agents from concept to production, including LangGraph workflows, RAG systems, prompts, tool/function calling, external integrations, and streaming LLM applications. • Develop backend services with FastAPI/async, PostgreSQL/SQLAlchemy, Celery/Kafka, and write tests; assess quality and resolve production issues. Requirements: • Strong Python development and practical LangGraph experience. • Experience building LLM applications and RAG systems with embeddings, vector search, relevance assessment, Qdrant, and hybrid/dense/sparse search. • Git, REST, asynchronous backend development, and independent task completion. • Familiarity with LiteLLM/vLLM and local models such as Qwen or Gemma.

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