AI/ML Developer - Remote Opportunity in Moscow, Russia

Publicado en CazViden 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.

Verificado por CazVidhace 2 mesesVigente hasta: 4 oct 2026

Salario

No especificado

Ubicación

RU

Tipo de empleo

Tiempo completo

Modalidad

Remoto

AI/ML Developer - Remote Opportunity in Moscow, Russia

RU

Postularme

Descripción del empleo

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.

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