{"id":1947109,"url":"https://alion.io/job/stt-razrabotchik-ii-reshenii","title":"Разработчик ИИ - решений","company":{"id":1043093,"name":"Stt","domain":"stt.ru","url":"https://alion.io/company/stt-2","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"HeadHunter","truth_index":{"grade":"C","score":55,"open_postings":4,"ghost_share":0.5,"stale_share":0,"repost_share":1,"time_to_fill_p50_days":30,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Backend","role_family":"Backend","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Nizhny Novgorod, Russia"],"countries":["RU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":10500,"max_usd":25000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":136},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"Asyncio","optional":false},{"name":"Claude","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"GigaChat","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"YandexGPT","optional":false},{"name":"Claude Code","optional":true},{"name":"Copilot","optional":true},{"name":"CrewAI","optional":true},{"name":"Cursor","optional":true},{"name":"Docker","optional":true},{"name":"Git","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Linux","optional":true},{"name":"LlamaIndex","optional":true},{"name":"Milvus","optional":true},{"name":"pgvector","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Qdrant","optional":true},{"name":"Redis","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-06T07:29:07Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-11-04T16:29:39Z","board_verified":true,"closed_at":null,"days_open":29,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":29},"description":"Функциональные обязанности:\n Разработка backend-сервисов на Python для интеграции с LLM (OpenAI, YandexGPT, GigaChat, Claude и аналоги).\n Проектирование, разработка и внедрение AI-ассистентов и автономных AI-агентов в промышленную эксплуатацию (low code).\n Настройка RAG-пайплайнов: загрузка документов, чанкинг, работа с embeddings и векторными базами.\n Интеграция AI-решений с внешними сервисами и API (CRM, базы данных, мессенджеры).\n Участие в проектировании архитектуры решений совместно с руководителем.\n Поддержка и доработка существующих AI-инструментов.\n Взаимодействие с бизнес-заказчиками для уточнения требований к автоматизации.\n Нам важно:\n опыт от 2 лет разработки на Python (или уверенное портфолио pet-проектов с AI).\n Языки и фреймворки:\n Уверенное владение Python (asyncio, requests, pandas).\n\n Знание FastAPI или Flask для разработки backend-сервисов.\n\n Обязательно: практический опыт работы с LLM API (OpenAI, Anthropic, YandexGPT, GigaChat или аналогичными).\n\n Желательно: знакомство с LangChain, LangGraph, LlamaIndex или CrewAI.\n\n Базы данных: Базовое знание SQL, PostgreSQL, Redis. Понимание принципов работы векторных баз данных (Qdrant, pgvector, Milvus).\n\n Инфраструктура: Базовые навыки работы с Docker, Git, Linux (терминальные навыки).\n\n Понимание: принципов работы LLM, RAG-систем и агентной архитектуры (planning, memory, tools).\n\n Личные качества: самостоятельность, инициативность, желание быстро учиться и разбираться в новых AI-инструментах (Cursor, Claude Code, GitHub Copilot и т.п.).\n\n Мы предлагаем:\n Оформление по ТК РФ с первого дня, ЗП полностью официальная.\n График работы: 5/2 с 9:00 до 18:00.\n Место работы: г. Н. Новгород, пр. Ленина, 107.\n Удобная транспортная развязка, рядом ст. м. 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Docs: https://alion.io/developers"}}