AI Engineering Jobs in Russia
There are 140 open AI Engineering jobs in Russia on freehire right now. 17 of them were posted recently. The skills employers ask for most often are llm, ai and python.
Most requested skills
- llm 81%
- ai 66%
- python 64%
- machine-learning 49%
- rag 46%
- api 39%
- langchain 30%
- docker 29%
How the work is done
- Remote 48 · 34%
- Onsite 22 · 16%
- Hybrid 19 · 14%
Visa sponsorship offered in 30% of the 37 postings that state a position on it.
Seniority
- Senior 24
- Lead 15
- C-level 11
- Middle 9
- Intern 8
- Junior 1
Who is hiring
- 1000+ employees 59
- 501-1000 employees 14
- 51-200 employees 8
- 11-50 employees 3
CV engineer (GenAI)
Builds and fine-tunes diffusion models to generate and style product photos for an online fashion catalog, then deploys them with MLOps/backend teams.
Python-разработчик (ML/LLM)
Разрабатывает и поддерживает Python-сервисы, интегрирует и дообучает ML/LLM-модели (WhisperX, GigaChat и др.), строит пайплайны данных и автоматизирует бизнес-процессы.
Pretrain Data LLM Researcher (GigaChat)
Researcher to design and run ablation experiments that shape the pretraining data mix for a frontier LLM, turning hypotheses into measurable gains on public benchmarks.
Руководитель направления по стратегии и аналитическому сопровождению реализации AI/GenAI-инициатив
Leads AI/GenAI strategy and analytics for Sber’s public-sector initiatives, driving adoption and measuring economic impact through financial modeling and KPI frameworks.
Lead AI Engineer (команда Конструктор Комплексных Решений)
Leads the architecture and development of an AI system that dynamically assembles personalized scenarios from modular AI components, using Python, LangChain, and RAG pipelines.
Исследователь-разработчик агентных систем (LLM/NLP)
Research and build an agentic AI system platform that converts natural-language task descriptions into executable multi-agent pipelines, optimizing them via evolutionary algorithms and LLM-driven mutations.
ML-инженер (Online RL) / Post-Training LLM
ML engineer builds and runs online reinforcement-learning pipelines to improve GigaChat’s post-training, designing experiments, reward signals, and distributed training workflows.
Руководитель направления Online RL (STEM) / Post-Training LLM в команду GigaChat
Lead the online reinforcement learning team for STEM-focused LLM post-training at GigaChat, designing RLHF pipelines, reward models, and data curation to improve reasoning in math, physics, and other sciences.
Online RL (General) / Post-Training LLM в команду GigaChat
Lead the online reinforcement-learning team for GigaChat, designing post-training methods, reward models, and data pipelines to make the LLM more helpful and user-friendly.
AI-инженер / AI Automation Engineer
AI engineer builds and integrates LLM-powered assistants and workflows into a corporate portal to automate HR, sales, finance, and ops tasks, making internal tools intuitive for employees.
AI Product Engineer / Business analyst / System analyst
Build and ship an AI agent that automates car-rental sales and support: design prompts, integrate with CRM, and tune conversational flows to handle bookings, extensions, and FAQs.
AI Engineer (LLM)
Build and maintain production-grade LLM pipelines and multi-agent systems for generative AI features, primarily in finance, using Python and APIs from providers like OpenAI and Anthropic.
Ведущий инженер по AI/LLM-платформе
Leads the build-out of an internal AI/LLM platform on GPU infra: evaluates open-weight models, designs inference routers and agent tooling, and deploys scalable, observable services for corporate users.
Middle AI Agent Engineer
Build and deploy AI agents (LLM-based) to automate customer-support workflows using NLP tools like LangChain, RAG, and fine-tuning.
Senior AI Engineer (AI-агенты)
Build and scale AI agents and LLM applications that plug into sales workflows, using Python, LangChain/LangGraph, and distributed systems to drive measurable business impact.
AI Automation Engineer (Инженер по AI-автоматизации)
Builds and integrates AI tools (LLMs, agents) to automate game testing, DevOps, and internal services for a mobile-gaming studio.
Стажер (AI Product / LLM)
Intern to shape AI-powered financial assistants: research LLM use-cases, write user stories, and prototype no-code AI agents while learning product analytics.
Senior DevOps LLM (Инвестиционный бизнес)
Senior DevOps engineer deploying and optimizing open-source LLMs (DeepSeek, Qwen) on-premises, building high-throughput inference servers and observability for an investment platform.
Аналитик-разработчик в LLM Блендер
Build and improve offline LLM-based relevance metrics for Yandex Search’s thematic blocks, design ranking benchmarks, and analyze ML model quality to directly impact production ranking.
LLM-Engineer (рекомендательные системы)
Build and deploy LLM-powered conversational recommendation agents using RAG and Python to personalize content and services across Sber’s ecosystem.