Олександр

Oleksandr Remote / Kyiv / Abroad Ready

AI SOFTWARE ENGINEER (AGENTIC SYSTEMS & FRAMEWORK INTEGRATION)
Email: [open contact info](look above in the "contact info" section) Live AI Project: hopeok.com.ua YouTube Case: youtube.com/watch?v=BbVihBaZrxc

Location: Ukraine

PROFESSIONAL SUMMARY
AI Software Engineer specializing in Python-based Agentic AI systems, LLM integration, custom tool calling, and
RAG architectures. Experienced in building, extending, and integrating complex multi-agent frameworks
(LangGraph, LangChain, AutoGen, CrewAI) into production software ecosystems. Proficient in designing reliable
API connectors, vector storage retrieval, function calling pipelines, and framework integration logic (including
Quantum Framework concepts).

CORE TECHNICAL EXPERTISE

AI & Agent Frameworks: LangGraph, LangChain, CrewAI, AutoGen, Agentic Workflows, Tool Calling, Stateful
Graphs
Languages & Core Python: Python 3 (Asyncio, Pydantic, FastAPI), C/C++, REST APIs, gRPC, Structural Pattern
Matching
RAG & Vector Search: ChromaDB, FAISS, Qdrant, Embedding Pipelines, Hybrid Search, Context Reranking
LLM Deployment & APIs: OpenAI API, Ollama, vLLM, Llama-3.1, Local Model Quantization, Prompt Engineering
Integration & Tooling: Git, Docker, CI/CD pipelines, System Integration, Linux environments, Unit/Integration
Testing

ENGINEERING EXPERIENCE

Lead AI & Systems Engineer — R&D Lab & Production AI Projects 2021 – Present
Architected and deployed an autonomous local RAG & Agentic System (hopeok.com.ua) utilizing Python,
LangChain/LangGraph, and vector databases for dynamic document analysis.
Engineered autonomous agent tool-calling capabilities allowing LLM agents to interface with external APIs, execute
Python scripts, and process structured JSON datasets.
Integrated multi-agent collaboration patterns (supervisor and worker agent setups) to break down complex tasks into
executable sub-steps.
Optimized vector retrieval pipelines using hybrid keyword + semantic embeddings, decreasing retrieval latency by
40% while preserving context accuracy.
Designed REST APIs and modular wrapper libraries to seamlessly integrate AI components into existing software
systems and third-party frameworks.

Software Engineer (Python & Systems Integration) — R&D Projects 2018 – 2021
Developed modular Python microservices for automated data ingestion, API integration, and background task
execution.
Implemented async data connectors, memory management protocols, and comprehensive unit/integration testing
suites.

PROOF OF WORK & PRACTICAL IMPLEMENTATION

Live Production Agentic System: Designed and maintains hopeok.com.ua — a fully operational autonomous RAG
system proving real-world experience with tool integration, API design, vector databases, and stateful agent
execution in Python.

EDUCATION & CREDENTIALS
Specialist Degree in Computer Engineering Ukraine
Languages: Ukrainian (Native), English (Upper-Intermediate — technical design, API specifications, and
international remote collaboration).

AI Software Engineer CV — Quantum Framework Integration Page 1 of 1