AI Engineer (AI/ML)

• Design and develop document processing pipelines: loading, normalization, segmentation, structure identification, and context preparation.
• Extract structured data from contracts, appendices, acts, and other documents considering long context, tables, and changing conditions over time.
• Build hybrid search with full-text and vector retrieval, filtering, reranking, and context gathering.
• Develop graph representations of documents, entities, and relationships, as well as agent and workflow scenarios with state management, tool calls, and fallback mechanisms.
• Develop Python services, APIs, background tasks, and integrations with internal sources.
• Participate in model selection, experiments, fine-tuning, and optimization of local inference.

• Industrial development in Python at a middle+ level.
• Experience with FastAPI or similar frameworks, asynchronous execution, queues, and background processing.
• Working knowledge of PostgreSQL and SQL.
• Practical experience deploying LLM solutions in production, understanding RAG, structured output, tool calling, and multi-step model scenarios.
• Experience with Docker, Kubernetes, and CI/CD.
• Ability to create benchmark datasets, select metrics, classify errors, and conduct regression testing.

Nice to Have

• Experience with LangChain, LangGraph, MCP, GraphRAG, Qdrant, pgvector, vLLM, and OpenAI-compatible APIs.
• Experience in fine-tuning and optimizing local inference.

• Full-time employment.
• Opportunity for employment through a Russian legal entity in-house or via an agreed-outstaff model.
• Office, hybrid, or remote work format for independent specialists from Russia.