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AI Agents Management & Orchestration Control Plane

AI Engineer2025Oleksandr N.
Oleksandr N.
Oleksandr N.

LLM Engineer / GenAI Engineer

LLM & AI Agents

Key Expertise

Enterprise RAG PlatformsAgentic OrchestrationAI InfrastructureMulti-modal AI Systems

Experience

15+ years

Timezone

GMT +2

Skills

AI / ML

LlamaLangGraphLightLLMGeminiLlama GuardrailsOpenAILangChain

Languages

PythonNode.js

Databases

PineconeElasticsearchPostgreSQLMinIO

Infrastructure

RDSAWSSNSLambdaKubernetesSQSELKDockerEC2

Frameworks

FastAPIn8nApache Airflow

Integrations & Protocols

Google Drive APIOAuth 2.0
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Overview

Developed a centralized, production-grade management platform (Control Plane) for the lifecycle management of specialized AI agents. The system provides a unified web interface for defining agent personas, deploying them across diverse environments, and monitoring their performance and token consumption in real-time.

Achievements

Accelerated Time-to-Market: Delivered the MVP from concept to launch in just 2 months, resulting in the immediate acquisition of 10 initial B2B clients. Enhanced Observability: Built a comprehensive monitoring suite that tracks agentic reasoning paths, ensuring high-fidelity output and debugging capabilities.

Responsibilities

  • Architected scalable agent deployment workflows to manage complex state-based transitions and multi-agent handoffs.
  • Developed a robust CI/CD pipeline using Terraform and Helm to automate the provisioning of agent environments on Kubernetes clusters.
  • Implemented a unified API gateway using FastAPI to standardize agents deployment.

Technologies Used

LangChainLangGraphFastAPINode.jsLightLLMKubernetesHelmTerraformPostgreSQL
Oleksandr N.

This project was delivered by

Oleksandr N.

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