About Maxim
AI engineer with a strong Python backend foundation, specializing in production LLM systems — RAG pipelines, LLM orchestration and multi-agent architectures — and the scalable APIs and services around them. Takes AI features from prototype to production: designing architecture, integrating models (OpenAI, Anthropic, Gemini), and shipping reliable, observable services. Comfortable across FastAPI,async processing, SQL and vector stores, and cloud deployment, and uses AI coding tools daily with the judgment to review and validate
what they produce.
Belarusian
Native or bilingual
Polish
Fluent
English
Fluent
Russian
Fluent
Remote only
Primarily works remotely
Experience
- X-ONESoftware / AI EngineerOctober 2025 - Today (9 months)Poznan, PolandSaaS platform automating client communication via AI, integrated with Facebook, Slack and other business tools; rebuilt the core AI engine to improve response quality at scale.• • Architected and built a production multi-agent AI system from scratch in Python, replacing the legacy engine and significantly improving response quality across the platform.• • Designed asynchronous, queue-based LLM message processing to handle high volumes with low latency, reliable delivery and cost control.• • Owned model integration and the prompt / orchestration layer, plus REST APIs and integrations with third-party platforms (Facebook, Slack and other business tools).• • Containerized services with Docker and hardened CI/CD pipelines (GitHub Actions) for faster, safer deployments.
- InnotaxesSoftware EngineerAugust 2024 - October 2025 (1 year and 2 months)Madrid, SpainAI platform helping users navigate tax regulations, plus internal automation tools that saved the team hours of reporting work each week.• • Designed and built a production RAG Q&A system (vector search + LLM orchestration) over large document collections, owning retrieval quality and evaluation.• • Built and scaled backend services in Python / FastAPI with PostgreSQL, Redis and a vector store, exposing well-documented REST APIs for the product and internal tools.• • Partnered with data engineers on ingestion and data pipelines feeding the AI system.• • Delivered internal automation tools that eliminated manual reporting and saved the team hours each week; deployed and monitored in the cloud (Docker + cloud VMs).
- Bit AdventureSoftware EngineerJuly 2021 - August 2024 (3 years and 1 month)Warsaw, PolandShipped three production systems: a digital content platform, an AI-powered customer support assistant, and a Telegram-based job-matching bot.• • Delivered three production systems end to end, owning backend architecture, implementation and deployment.• • Built Python backends with FastAPI, PostgreSQL and MongoDB, exposing REST APIs consumed by web and bot clients.• • Integrated LLMs into an AI support assistant for context-aware responses, with prompt design, quality logging and evaluation.• • Built lightweight front-end interfaces in React and TypeScript for product tools and internal dashboards.• • Containerized and deployed applications to cloud providers (AWS, DigitalOcean).
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Education
- Bachelor of ScienceUniversity of GdanskBachelor of Science
Certifications
- English level C1 - knowledge certificationUniversity of Gdansk2024