Ukraine's #1 job service
Ілля
AI engineer
- Considering positions:
- AI engineer, Python-програміст
- Age:
- 20 years
- City of residence:
- Other countries
- Ready to work:
- Other countries, Remote
Contact information
The job seeker has entered a phone number and email.
Name, contacts and photo are only available to registered employers. To access the candidates' personal information, log in as an employer or sign up.
You can get this candidate's contact information from https://www.work.ua/resumes/19523124/
Uploaded file
Quick view
version
This resume is posted as a file. The quick view option may be worse than the original resume.
Illia Sydorchuk
Bratislava Slovakia [open contact info ](look above in the "contact info" section) [open contact info ](look above in the "contact info" section) LinkedIn Github
Summary
Junior AI Engineer specializing in Agentic AI and RAG architectures. Hands-on experience building Multi-Agent
systems with LangGraph and self-correction loops. Proficient in Python, its web frameworks, and vector
databases. Currently focusing on automating complex workflows through LLM-driven solutions.
Key Skills & Achievements
AI Systems & RAG Architecture
•Multi-Agent Systems: Architected a sophisticated Multi-Agent system using LangGraph, featuring a strict self-
correction feedback loop between "Generator" and "Reviewer" agents to automate source code analysis.
•RAG Pipelines: Built a dynamic Retrieval-Augmented Generation (RAG) pipeline using ChromaDB for
automated GitHub repository ingestion, enabling AI to instantly parse and understand large, undocumented
codebases.
•Prompt Engineering: Developed advanced prompt templates with strict syntax guardrails, enabling flawless
generation of complex architectural diagrams (PlantUML) via Google Gemini models.
Backend Development & API Engineering
Asynchronous APIs: Developed a high-performance, asynchronous REST API Gateway using FastAPI to deploy
•
AI agents as enterprise-ready microservices.
Real-time Streaming: Implemented Server-Sent Events (SSE) via StreamingResponse to broadcast AI reasoning
•
steps in real-time, significantly minimizing frontend perceived latency.
Web Applications: Built full-stack task management and database systems utilizing Django and SQLite,
•
implementing robust ORM models and strict data validation (Pydantic).
Software Engineering & Testing
•C++ & Object-Oriented Design: Developed an object-oriented C++ application to parse and process large-scale
demographic data, featuring a custom SQL-like command parser.
•Automated Evaluation: Engineered an automated Evaluation Engine that critiques AI-generated outputs
against rigid engineering metrics (OOP Principles, Clean Architecture, IEEE 1016 standards).
•Quality Assurance: Ensured system reliability and data integrity by writing comprehensive unit tests using
Google Test and implementing strict input validation mechanisms.
Skills
Programming Languages: Python, C++, SQL, JavaScript.
•
AI & Machine Learning: LangGraph, LangChain, Retrieval-Augmented Generation (RAG), Large Language
•
Models (LLM), Prompt Engineering, Multi-agent Systems.
Backend & Frameworks: FastAPI, Django, Flask.
•
Databases: PostgreSQL, MySQL, SQLite, ChromaDB.
•
Tools & DevOps: Git, GitHub, Linux.
•
Selected Projects
Enterprise AI Agent API Gateway 01/2026 – Present
AI-Powered Reverse Engineering Pipeline (Bachelor's Thesis) 05/2025 – Present
Demographic Data Calculator (C++) 11/2024 – 01/2025
Education
BSc, Applied Informatics, Comenius University Bratislava 09/2023 – 06/2027
Languages
Ukrainian Slovak English
Native B2 B2
Bratislava Slovakia [
Summary
Junior AI Engineer specializing in Agentic AI and RAG architectures. Hands-on experience building Multi-Agent
systems with LangGraph and self-correction loops. Proficient in Python, its web frameworks, and vector
databases. Currently focusing on automating complex workflows through LLM-driven solutions.
Key Skills & Achievements
AI Systems & RAG Architecture
•Multi-Agent Systems: Architected a sophisticated Multi-Agent system using LangGraph, featuring a strict self-
correction feedback loop between "Generator" and "Reviewer" agents to automate source code analysis.
•RAG Pipelines: Built a dynamic Retrieval-Augmented Generation (RAG) pipeline using ChromaDB for
automated GitHub repository ingestion, enabling AI to instantly parse and understand large, undocumented
codebases.
•Prompt Engineering: Developed advanced prompt templates with strict syntax guardrails, enabling flawless
generation of complex architectural diagrams (PlantUML) via Google Gemini models.
Backend Development & API Engineering
Asynchronous APIs: Developed a high-performance, asynchronous REST API Gateway using FastAPI to deploy
•
AI agents as enterprise-ready microservices.
Real-time Streaming: Implemented Server-Sent Events (SSE) via StreamingResponse to broadcast AI reasoning
•
steps in real-time, significantly minimizing frontend perceived latency.
Web Applications: Built full-stack task management and database systems utilizing Django and SQLite,
•
implementing robust ORM models and strict data validation (Pydantic).
Software Engineering & Testing
•C++ & Object-Oriented Design: Developed an object-oriented C++ application to parse and process large-scale
demographic data, featuring a custom SQL-like command parser.
•Automated Evaluation: Engineered an automated Evaluation Engine that critiques AI-generated outputs
against rigid engineering metrics (OOP Principles, Clean Architecture, IEEE 1016 standards).
•Quality Assurance: Ensured system reliability and data integrity by writing comprehensive unit tests using
Google Test and implementing strict input validation mechanisms.
Skills
Programming Languages: Python, C++, SQL, JavaScript.
•
AI & Machine Learning: LangGraph, LangChain, Retrieval-Augmented Generation (RAG), Large Language
•
Models (LLM), Prompt Engineering, Multi-agent Systems.
Backend & Frameworks: FastAPI, Django, Flask.
•
Databases: PostgreSQL, MySQL, SQLite, ChromaDB.
•
Tools & DevOps: Git, GitHub, Linux.
•
Selected Projects
Enterprise AI Agent API Gateway 01/2026 – Present
AI-Powered Reverse Engineering Pipeline (Bachelor's Thesis) 05/2025 – Present
Demographic Data Calculator (C++) 11/2024 – 01/2025
Education
BSc, Applied Informatics, Comenius University Bratislava 09/2023 – 06/2027
Languages
Ukrainian Slovak English
Native B2 B2
Similar candidates
-
Ai інженер
Kyiv, Remote -
AI-креатор
Remote -
Промпт-інженер
10000 UAH, Kropyvnytskyi, Remote -
AI Automation Engineer/n8n Developer
Ivano-Frankivsk, Kropyvnytskyi , more 2 cities -
Копірайтер, редактор (SEO, Outreach, AI, B2B, Betting, Gambling)
Remote -
AI-креатор
Remote
Compare your requirements and salary with other companies' jobs:
The candidate's resume is posted at https://www.work.ua/resumes/19523124/