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Присоединяйтесь к нам, чтобы работать с передовыми технологиями в области Fintech, искусственного интеллекта, блокчейна и других актуальных направлений. Вместе мы создаём будущее IT!\n Мы в поискахMiddle/Middle+ Python Backend Developer. Если вы заряжены на результат, любите вызовы и хотите расти в динамичной IT-среде - давайте создавать успех вместе!\n Что для нас важно:\n Коммерческий опыт от 3 лет в backend-разработке, из них от 2 лет с Python;\n Уверенное знание Python Core и стандартной библиотеки;\n Опыт разработки production-приложений на FastAPI / Django / Flask;\n Практический опыт с asyncio, async/await, ASGI;\n Хорошее понимание ООП, SOLID, DRY, KISS;\n Опыт проектирования и разработки REST API, понимание HTTP, авторизации и API-контрактов;\n Уверенное знание SQL и PostgreSQL: индексы, транзакции, JOIN, оптимизация запросов, EXPLAIN;\n Опыт работы с SQLAlchemy / Django ORM и миграциями;\n Практический опыт работы с Redis;\n Опыт работы с очередями и фоновыми задачами: Celery / RQ / RabbitMQ / Kafka или аналогами;\n Уверенный опыт написания unit- и integration-тестов с Pytest;\n Уверенная работа с Git, опыт участия в code review;\n Практический опыт с Docker / Docker Compose и понимание CI/CD;\n Опыт работы минимум с одним облачным провайдером: AWS / GCP / Azure;\n Уверенная работа с Linux и понимание эксплуатации backend-сервисов в production: logging, monitoring, configuration, secrets, health checks;\n Практический опыт интеграции LLM / AI-сервисов в backend-приложения;\n Понимание RAG, embeddings, vector search, structured output, tool/function calling и управления контекстом;\n Опыт работы с векторными хранилищами или search engine: Weaviate / Qdrant / Pinecone / pgvector / Elasticsearch или аналогами;\n Понимание особенностей LLM в production: latency, token usage, rate limits, retries, caching, hallucinations, prompt injection;\n Умение самостоятельно разбираться в кодовой базе, декомпозировать задачи и участвовать в технических и архитектурных решениях;\n Опыт работы по Scrum / Kanban;\n Английский от B1 и выше.\n Будет плюсом:\n Опыт работы с LangChain и LangGraph;\n Опыт разработки AI Agents / Agentic Workflows;\n Опыт построения production-ready RAG / GraphRAG решений;\n Опыт работы с графовыми базами данных: Neo4j / Amazon Neptune / Memgraph или аналогами;\n Понимание и опыт построения Knowledge Graph;\n Опыт использования MCP (Model Context Protocol);\n Опыт работы с Kubernetes и микросервисной архитектурой;\n Опыт с Prometheus / Grafana / Sentry / OpenTelemetry;\n Опыт работы с Terraform / Infrastructure as Code;\n Опыт работы с локальными или open-source LLM, LLM evaluation и observability.\n Условия работы:\n Просторный офис А класса в нескольких шагах от метро;\n Защищённая от инфляции заработная плата;\n Молодой и дружный коллектив, где ценятся инновации и совместная работа;\n Гибкий рабочий график, который поможет сохранить баланс между работой и личной жизнью.\n *Вакансия, планируемая к созданию и/или замещению 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