AI Engineering Jobs in Russia
There are 138 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 67%
- python 63%
- machine-learning 48%
- rag 46%
- api 39%
- docker 30%
- langchain 30%
How the work is done
- Remote 48 · 35%
- Onsite 22 · 16%
- Hybrid 19 · 14%
Visa sponsorship offered in 29% of the 35 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 57
- 501-1000 employees 14
- 51-200 employees 8
- 11-50 employees 3
Middle AI Engineer [МТС Веб Сервисы]
Middle AI Engineer at MTS Web Services (Finance Block) building and maintaining ML/DL/LLM infrastructure, fine-tuning models, developing RAG search and document recognition systems, and creating production data pipelines using Python, PySpark, Airflow, and vector databases.
Senior AI Engineer (команда GenBI and Agentization)
Senior AI Engineer on the GenBI and Agentization team at Sberbank, building an AI assistant for the Navigator BI platform using LLMs, RAG pipelines, and agent logic to help users find dashboards, generate visualizations, and query business metrics in natural language.
Senior AI Agent Engineer
Designs and deploys AI agents (LLM/GPT-like models) to automate customer service workflows in a fintech contact center, focusing on dialog systems, recommendation engines, and NLP-based interfaces.
AI инженер / GenAI инженер (Middle)
The AI Engineer will develop and deploy multi-agent systems using LLMs, LangChain, and LangGraph to automate financial processes. The role involves building RAG pipelines, optimizing prompts, implementing LLMOps, and ensuring production-grade observability and evaluation for AI agents.
Стажер LLM / AI-агенты
A junior role working with large language models (LLMs) and AI agents to support fintech innovation at Russia’s largest bank, Sberbank. Focuses on hands-on development and experimentation with AI-driven solutions.
Стажер LLM / AI-агенты
The internship involves working with Large Language Models (LLM) and AI agents, focusing on fintech applications within Sberbank. Daily tasks include developing and testing AI-driven solutions, contributing to NLP projects, and gaining hands-on experience in AI/ML tools.
Senior NLP/LLM Engineer
The Senior NLP/LLM Engineer will design and implement end-to-end LLM pipelines, including RAG systems and autonomous AI agents, to support B2C client managers. The role focuses on architectural responsibility, model fine-tuning, and establishing quality evaluation processes using Python and modern LLMOps tools.
Middle LLM-инженер
The LLM Engineer will integrate large language models into enterprise processes using RAG, agentic architectures, and fine-tuning pipelines. The role focuses on optimizing model performance for production environments using frameworks like LangChain, vLLM, and PyTorch.
Middle+ AI Engineer (блок Финансы)
Команда развития внутренних технологических продуктов ищет Backend-разработчика с сильным профилем в обработке данных и построении агентных систем на LLM. Будем разрабатывать сервисы и агентные пайплайны, которые дают…
Ведущий системный аналитик / LLM & AI-агенты
Leads design of AI agent workflows for corporate client support, defining microservices, data contracts, and business processes while bridging ML, UI/UX, and banking domains.
QA Engineer (LLM-платформа)
QA Engineer tests AI-driven products, including LLM platforms, by evaluating model responses, prompt robustness, and API integrations while handling non-deterministic behavior and edge cases.
Senior Embodied AI Engineer (VLA, управление роботом)
The Senior Embodied AI Engineer will develop and integrate VLA models with robotic hardware to enable intelligent behavior. The role involves sensor data processing, real-time model deployment on hardware, and conducting research experiments using PyTorch and ROS.
AI Engineer (AI Marketing)
Мы создаем AI-продукты, которые трансформируют работу маркетинга: от анализа исследований и клиентских инсайтов до интеллектуального копайлота, помогающего маркетологам работать с данными, документами, контентом и…
Python / LLM Engineer: RAG и ИИ-агенты
Python/LLM Engineer developing RAG solutions and AI agents for business processes. Responsibilities include designing AI agents, configuring scenarios, integrating with systems, and optimizing RAG pipelines using Python and tools like LangChain/LangGraph.
DevOps Engineer (AI / LLM / Kubernetes)
Builds and scales Kubernetes-based AI infrastructure for a legal LLM platform, handling GPU workloads, CI/CD pipelines, and high-load monitoring to support real-time inference and integrations.
Руководитель направления по аналитике данных (Внедрение GenAI решений)
В команду «Качества данных» Рисков Корпоративно-инвестиционного бизнеса ищем лидера для реализации стратегически важного проекта. Мы запускаем создание Мультиагентной системы контрольного контура данных с целью…
QA Engineer (Manual + LLM + базовая автоматизация)
The QA Engineer tests voice/AI products, focusing on manual testing of LLM-driven features, API/integration validation, and basic Python automation for regression and API checks. Core tasks include designing probabilistic LLM test scenarios, analyzing logs, and gradually automating repetitive checks.
ML-инженер (LLM)
Builds and deploys LLM-based systems: adapts GPT-like models, writes prompts, sets up RAG pipelines, and integrates services into production using Docker/Kubernetes.
Tech Lead NLP / LLM
Lead a team of NLP engineers to build LLM assistants, intelligent search, and document processing for a top-5 Russian bank using fine-tuning, RAG, and vector databases.