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Hello! I'm Maksim Pyanin, a software engineer focused on backend development and AI-powered systems. I enjoy building scalable APIs, RAG pipelines, and multi-agent architectures that make complex workflows feel seamless. I thrive in cross-functional teams, translating product needs into robust tech solutions and delivering reliable deployments. In my work, I combine Python-based microservices, Docker/Kubernetes deployments, and data tooling (LangChain, Weaviate, OpenAI API) to enable fast experimentation and production-readiness. I'm passionate about clean architecture, collaboration with backend and frontend teams, and continuously learning new AI-driven approaches.…Hello! I'm Maksim Pyanin, a software engineer focused on backend development and AI-powered systems. I enjoy building scalable APIs, RAG pipelines, and multi-agent architectures that make complex workflows feel seamless. I thrive in cross-functional teams, translating product needs into robust tech solutions and delivering reliable deployments. In my work, I combine Python-based microservices, Docker/Kubernetes deployments, and data tooling (LangChain, Weaviate, OpenAI API) to enable fast experimentation and production-readiness. I'm passionate about clean architecture, collaboration with backend and frontend teams, and continuously learning new AI-driven approaches.

Maksim Pyanin

AI Engineer, Back-End Developer, Full Stack Developer, +2

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Hello! I'm Maksim Pyanin, a software engineer focused on backend development and AI-powered systems. I enjoy building scalable APIs, RAG pipelines, and multi-agent architectures that make complex workflows feel seamless. I thrive in cross-functional teams, translating product needs into robust tech solutions and delivering reliable deployments. In my work, I combine Python-based microservices, Docker/Kubernetes deployments, and data tooling (LangChain, Weaviate, OpenAI API) to enable fast experimentation and production-readiness. I'm passionate about clean architecture, collaboration with backend and frontend teams, and continuously learning new AI-driven approaches.…Hello! I'm Maksim Pyanin, a software engineer focused on backend development and AI-powered systems. I enjoy building scalable APIs, RAG pipelines, and multi-agent architectures that make complex workflows feel seamless. I thrive in cross-functional teams, translating product needs into robust tech solutions and delivering reliable deployments. In my work, I combine Python-based microservices, Docker/Kubernetes deployments, and data tooling (LangChain, Weaviate, OpenAI API) to enable fast experimentation and production-readiness. I'm passionate about clean architecture, collaboration with backend and frontend teams, and continuously learning new AI-driven approaches.

Available to hire

Hello! I’m Maksim Pyanin, a software engineer focused on backend development and AI-powered systems. I enjoy building scalable APIs, RAG pipelines, and multi-agent architectures that make complex workflows feel seamless. I thrive in cross-functional teams, translating product needs into robust tech solutions and delivering reliable deployments.

In my work, I combine Python-based microservices, Docker/Kubernetes deployments, and data tooling (LangChain, Weaviate, OpenAI API) to enable fast experimentation and production-readiness. I’m passionate about clean architecture, collaboration with backend and frontend teams, and continuously learning new AI-driven approaches.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

Belarusian

Fluent

English

Advanced

Work Experience

AI Engineer at X-ONE

October 1, 2025 - Present

Built a Telegram bot and web API for a recruitment assistant system, enabling companies to connect with developers efficiently. Developed backend integration and bot workflows using Python in a microservice architecture, ensuring smooth communication with backend systems. Created and answered a set of questions to generate detailed candidate profiles, and the bot notifies users of relevant job opportunities. Containerized the system with Docker and Docker Compose to support reliable deployment and scaling. Implemented data ingestion, embeddings, and semantic search with LangChain and Weaviate, using Python in a microservice architecture with gRPC for inter-service communication.