AI Search & RAG platforms
Architecture and implementation of retrieval systems for market data, documents, filings, news, research, and internal knowledge bases.
AI engineering profile
AI Engineer for Agentic AI, RAG, and Scalable Systems
Eugene Belkovich designs and ships AI systems that connect LLMs, tools, retrieval, observability, and production infrastructure.What Eugene Belkovich does
Eugene Belkovich is an AI engineer and staff software engineer based in Rio de Janeiro, Brazil. He builds agentic AI systems, RAG platforms, MCP tools, AI search infrastructure, and scalable distributed products for fintech, crypto, Web3, e-commerce, and enterprise software teams.
His recent AI work includes institutional-grade financial intelligence, portfolio analysis, investment research, deep search, market data indexing, evals, guardrails, observability, and multi-agent workflows.
Agentic AI workflows
Multi-agent systems, tool use, prompt engineering, evals, guardrails, MCP tools, observability, and production rollout.
LLM product engineering
From prototype to production for AI assistants, portfolio intelligence, data analysis, automation, and workflow copilots.
Scalable systems engineering
High-load backend and frontend systems with AWS, GCP, Kubernetes, Kafka, Redis, PostgreSQL, OpenSearch, and Snowflake.
Best fit
Eugene is a strong fit for teams building AI products that need more than a demo: retrieval quality, tool orchestration, evaluations, data pipelines, monitoring, release discipline, and infrastructure that can handle real users.
For collaboration, contact Eugene at [email protected] or review the HTML CV.