AI/ML Developer - Remote Opportunity in Moscow, Russia

Published on CazVidat Alex Makarov

Apply for AI/ML Developer at Alex Makarov in Moscow. Work remotely on AI research, LLM implementation, RAG pipelines, and AI-powered applications.

Verified by CazVid2 months agoOpen until: Oct 4, 2026

Salary

Not provided

Location

RU

Employment type

Full time

Workplace

Remote

AI/ML Developer - Remote Opportunity in Moscow, Russia

RU

Apply now

Job description

AI/ML Engineer — AI Research & LLM Implementation Alex Makarov is seeking a skilled AI/ML Developer based in Moscow, Russia, with remote work eligibility. This role combines advanced AI research with hands-on implementation of AI products. Ideal candidates will have deep expertise in modern AI systems, including experimentation with models and techniques, alongside building practical applications using large language models (LLMs), retrieval-augmented generation (RAG) pipelines, LangChain, OpenRouter, vector databases, and backend APIs. Key Responsibilities Research, test, and evaluate state-of-the-art AI/ML techniques, LLM architectures, prompting strategies, and retrieval methods. Develop AI-powered applications leveraging RAG, LangChain, OpenRouter, embeddings, vector search, and LLM APIs. Design and implement document-based question-answering systems, chatbots, AI agents, automation tools, and knowledge retrieval systems. Collaborate with multiple LLM providers and APIs such as OpenAI, OpenRouter, Anthropic, Google, Hugging Face, and open-source models. Build and optimize RAG pipelines including document parsing, chunking, embedding generation, vector storage, retrieval, reranking, and response generation. Experiment with prompt engineering, structured outputs, function calling, tool integration, agent workflows, and multi-step reasoning systems. Develop backend services and APIs using Python frameworks like FastAPI, Django, or Flask. Evaluate model outputs focusing on accuracy, hallucination reduction, latency, cost, and reliability. Work with vector databases such as Pinecone, Weaviate, Chroma, FAISS, Qdrant, or pgvector. Continuously improve AI system performance through enhanced retrieval logic, prompt design, model selection, caching, and evaluation workflows. Stay current with emerging AI models, frameworks, and research to drive innovation. Why Join Alex Makarov? Join a forward-thinking team focused on pushing the boundaries of AI research and practical AI product development. Work remotely from Moscow with opportunities to impact intelligent user experiences and automate complex workflows.

Similar jobs