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
Разработка и внедрении решений с LLM (стажер)
Intern develops and deploys LLM-based solutions under TL guidance, working with agent frameworks like Codex or Claude Code and designing safe, reproducible harness setups with CI/CD integration.
Senior AI Agent Engineer
Senior AI Agent Engineer builds and deploys enterprise-grade AI agents for automating legal workflows using LLM-based agent systems and production-grade tooling.
Senior AI Engineer (ХОЛД)
Senior AI Engineer builds agentic systems and AI products from rapid prototyping to production, focusing on reliability, security, and scalability using Python, LLM frameworks, and async backend stacks.
AI Engineer
Build AI-powered applications using LLMs for code generation, design prototypes, and implement RAG, vector search, and agent pipelines in Python/Node.js with SQL and BigQuery.
ML-инженер (LLM) — платформа Cortex24
Build and improve an LLM-powered pipeline that reads procurement docs, matches tender items to supplier catalogs, and generates quotes in minutes. Work with prompt engineering, structured outputs, and retrieval/ranking to cut manual work from hours to seconds.
NLP/LLM Researcher
Research and build multimodal LLM-based services for embodied robotics, training models and multi-agent systems to decompose high-level tasks for physical robots.
NLP/LLM Researcher
Research and develop multimodal LLMs and multi-agent systems for embodied AI in robotics, focusing on navigation, manipulation, and task decomposition.
ML-разработчик (NLP/LLM)
ML developer builds and deploys NLP and LLM models to detect harmful content in social media, automating workflows with PyTorch, HuggingFace, and GPU clusters.
LLM-Engineer (рекомендательные системы)
Builds LLM-powered agents and RAG systems to deliver personalized, conversational recommendations across Sber’s ecosystem (finance, e-commerce, media, healthcare).
Senior ML разработчик в Казначейство ( классический ML,не LLM)
Senior ML engineer at a large Russian bank building classical ML models for loan/deposit prepayment forecasting, balance forecasting, and deposit pricing using boosting, regression, and time-series methods.
ML-инженер (LLM/NLP)
ML Engineer (LLM/NLP) responsible for full lifecycle of ML models, currently focusing on integrating LLM functionality into client chat-bot to enhance user experience.
MLE (Online RL) / Post-Training LLM (Middle+ / Senior)
ML Engineer role focusing on Online RL and Post-Training LLM, responsible for developing methods, conducting experiments, and improving model quality at Сбер in Moscow.
ML Team Lead (NLP/LLM)
Lead a research team pushing the boundaries of LLM capabilities, focusing on multimodal memory architectures and novel training objectives to achieve multi-fold quality/speed gains.
Senior Research Engineer (LLM Pretraining)
Senior Research Engineer focused on large language model pretraining, optimizing training recipes, architectures, and distributed training infrastructure using PyTorch on H100/B200 clusters.
Руководитель направления ML Pretrain LLM
Lead the architecture and pretraining of large language models for GigaChat, designing MoE and Transformer-based models, scaling laws, and long-context features on H100/B200 clusters.
Team Lead GenAI/LLM в Финтех
Leads a team building and deploying GenAI/LLM solutions to automate financial services workflows, improve credit scoring, and enhance customer support via RAG and agent systems.
Prompt Engineer / AI Artist (ComfyUI / LoRA / AI Video / AI Companion)
Builds AI-generated content pipelines using ComfyUI, Stable Diffusion, LoRA, and ControlNet to produce hyper-realistic images and videos for an AI Companion platform.
Middle QA Engineer (ML,LLM,RAG)
Middle QA Engineer at EvoAI tests AI agents, assistants, and LLM/RAG-based solutions for business clients, focusing on functional, integration, and AI-specific testing with Python and automation tools.
Специалист по машинному обучению / ML-инженер (ML/LLM, AI-агенты для medtech)
ML/LLM engineer building AI agents and large language models for medtech products, automating medical workflows and assisting doctors and patients.