AI Search & RAG platforms
Architecture and implementation of retrieval systems for market data, documents, filings, news, research, and internal knowledge bases.
Services
AI Engineering Services
Practical AI engineering for teams that need reliable products, not demos.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.
Typical engagements
- Design and implementation of RAG pipelines for large document collections.
- Agentic AI workflows with MCP tools, guardrails, evals, and observability.
- AI product architecture for assistants, copilots, search, analytics, and automation.
- Scaling backend systems with AWS, GCP, Kubernetes, queues, databases, and monitoring.
Frequently asked questions
What AI engineering services does Eugene Belkovich provide?
Eugene builds AI Search and RAG platforms, agentic AI workflows, MCP tools, LLM product features, evaluations, guardrails, observability, and scalable backend systems.
Can Eugene help productionize an AI prototype?
Yes. Eugene focuses on production AI systems: retrieval, tool orchestration, evaluation, monitoring, data pipelines, release workflows, and cloud infrastructure.
Which domains does Eugene know well?
Eugene has shipped products in institutional finance, crypto, Web3, fintech, e-commerce, enterprise software, and high-load consumer applications.