{"id":1168463,"url":"https://alion.io/job/alabuga-razrabotchik-llm-2","title":"Разработчик LLM","company":{"id":354,"name":"Alabuga","domain":"alabuga.ru","url":"https://alion.io/company/alabuga","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"HeadHunter","truth_index":{"grade":"A","score":100,"open_postings":53,"ghost_share":0.019,"stale_share":0,"repost_share":0.264,"time_to_fill_p50_days":6,"computed_at":"2026-09-25T05:45:01Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Saint Petersburg, Russia"],"countries":["RU"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":127500,"max":null,"currency":"RUB","period":"month","gross":false,"usd_annual":17508},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"Hugging Face","optional":false},{"name":"LLM","optional":false},{"name":"LoRA","optional":false},{"name":"PEFT","optional":false},{"name":"PyTorch","optional":false},{"name":"Quantization","optional":false},{"name":"SFT","optional":false},{"name":"Tool Use","optional":false},{"name":"Transformers","optional":false}],"status":"live","first_seen_at":"2026-09-24T05:24:02Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-25T02:28:59Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Обязанности: \n проектирование архитектуры LLM и выбор базовой модели под задачи проекта;\n создание и обучение моделей с нуля либо проведение fine-tuning (SFT, LoRA, PEFT);\n подготовка, очистка и разметка датасетов, формирование instruction-данных;\n реализация и запуск пайплайна обучения на базе PyTorch;\n оптимизация моделей (quantization, снижение latency, inference-оптимизация);\n реализация function/tool calling и интеграция LLM с API.\n Требования: уверенное владение PyTorch и опыт реализации пайплайнов обучения.\n понимание архитектуры Transformer (attention, embeddings, базовые механизмы работы моделей).\n опыт проектирования и применения методов дообучения (SFT, LoRA, PEFT).\n практический опыт оптимизации моделей (quantization, inference-оптимизация, снижение задержек);\n опыт работы с Hugging Face Transformers.\n Условия: релокация в Республику Татарстан;\n конкурентный уровень з/п;\n дневная рабочая неделя (ненормированная);\n транспорт до работы из г. Елабуга, г. Набережные Челны, г. Менделеевск, г. Нижнекамск;\n работа в крупной и стабильной компании - в структуре самой большой ОЭЗ в Европе.","description_format":"text","description_chars":1108,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"Russian","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Manufacturing","Real Estate","Industrial Real Estate"],"lifecycle":[{"event":"open","at":"2026-09-24T05:28:39Z"}],"liveness":{"score":92,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.919,"p_room":1,"age_days":1,"expected_fill_days":6,"reasons":["conf:3","wave","velocity","win:early","comp:brand"],"computed_at":"2026-09-25T05:45:01Z"},"pay":{"stated_usd_annual":17508,"is_top_pay":false},"html_url":"https://alion.io/job/alabuga-razrabotchik-llm-2","json_url":"https://alion.io/job/alabuga-razrabotchik-llm-2.json","meta":{"generated_at":"2026-09-26T01:47:21Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1795,"day_limit":5000,"remaining_today":3205,"minute_limit":60,"resets_at":"2026-09-27T00:00:00Z"}}}