{"id":4085269,"url":"https://alion.io/job/ayon-smart-solution-ai-engineer","title":"AI Engineer","company":{"id":4533912,"name":"AYON Smart Solution","domain":"ayonsmartsolution.tj","url":"https://alion.io/company/ayon-smart-solution","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dushanbe, Tajikistan"],"countries":["TJ"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"ChatGPT","optional":false},{"name":"Chroma","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Function Calling","optional":false},{"name":"Gemini","optional":false},{"name":"GitHub","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Nest.JS","optional":false},{"name":"Node JS","optional":false},{"name":"OCR","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Qdrant","optional":false},{"name":"RAG","optional":false},{"name":"Redis","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Search","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Text-to-Speech","optional":false},{"name":"TypeScript","optional":false},{"name":"Vercel AI SDK","optional":false},{"name":"Weaviate","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-09-22T10:42:44Z","employer_posted_date":null,"last_verified_at":"2026-09-22T10:42:44Z","board_verified":false,"closed_at":null,"days_open":50,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":50},"description":"Компания AYON Smart Solution приглашает в свою команду активных и коммуникабельных людей. Мы ищем \n\nAI Engineer\n\nОбязанности:\n\n— Разрабатывать AI-powered функции для продуктов;\n\n— Интегрировать LLM-модели через API: OpenAI, Anthropic, Google Gemini и другие;\n\n— Создавать AI-агентов и workflow для автоматизации задач;\n\n— Работать с prompt engineering, structured outputs и tool calling;\n\n— Разрабатывать RAG-системы для работы с документами, базами знаний и внутренними данными;\n\n— Работать с embeddings, vector search и semantic search;\n\n— Интегрировать AI-функции с backend API и базами данных;\n\n— Создавать внутренние инструменты для разработки, анализа, поддержки и автоматизации;\n\n— Оценивать качество ответов моделей и улучшать reliability;\n\n— Документировать AI-процессы и best practices.\n\nТребования:\n\n— Опыт разработки на Python и/или TypeScript;\n\n— Опыт работы с LLM API;\n\n— Понимание принципов prompt engineering;\n\n— Опыт интеграции AI-функций в реальные приложения;\n\n— Понимание embeddings, vector search, RAG;\n\n— Опыт работы с REST API;\n\n— Базовое понимание backend-разработки;\n\n— Умение работать с данными, документами и структурированными форматами;\n\n— Понимание ограничений LLM: hallucinations, context window, latency, cost, privacy;\n\n— Умение писать чистый, понятный и поддерживаемый код;\n\n— Опыт с LangChain, LlamaIndex, Vercel AI SDK или похожими инструментами;\n\n— Опыт с pgvector, Qdrant, Pinecone, Weaviate, Chroma;\n\n— Опыт с PostgreSQL, Redis, MongoDB;\n\n— Опыт с FastAPI, Node.js, NestJS или Express;\n\n— Опыт с agent frameworks и tool-calling архитектурой;\n\n— Опыт с document processing: PDF, DOCX, OCR, tables, knowledge base;\n\n— Опыт с speech-to-text, text-to-speech или multimodal AI;\n\n— Опыт с evaluation: test datasets, scoring, regression checks;\n\n— Опыт с AI coding tools: Codex, Claude Code, Cursor, ChatGPT;\n\n— Понимание AI safety, data privacy и security best practices.\n\nУсловия:\n\n— Оформление: Трудовой договор согласно законодательству РТ;\n\n— График работы: 5/2, 09:00 – 18:00;\n\n— Формат работы: В офисе;\n\n— Работа над реальными AI-функциями, а не просто экспериментами;\n\n— Возможность строить AI-инфраструктуру и workflows с нуля;\n\n— Современный AI/LLM стек;\n\n— Сильная техническая команда;\n\n— Code review и понятные инженерные процессы.\n\nКак откликнуться\n\nОтправьте нам:\n\n— CV или краткую информацию о себе;\n\n— GitHub или примеры AI-проектов;\n\n— Кратко: с какими LLM / AI-инструментами вы работали;\n\n— Примеры AI-функций, агентов, RAG-систем или автоматизаций, которые вы создавали;\n\n— Ожидаемый уровень зарплаты.\n\nПрисылать резюме на почту:\n\n\n\nТема письма: AI 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