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September 18, 2026

Senior AI Engineer (LLMs, Python)

Senior • Remote

19,320 - 25,200 PLN/yr

Warsaw, Poland

Quick Facts

  • Role: Senior AI Engineer (LLMs, Python)

  • Focus: Scalable GenAI and LLM backend systems

Description

You will develop scalable AI systems using LLMs and GenAI, helping turn Data Science prototypes into production-ready solutions. The role includes building backend components in Python (e.g., FastAPI), improving code quality, and participating in cloud deployment and maintenance.

Responsibilities

  • Support development of scalable AI systems, including LLMs and GenAI

  • Transform Data Science prototypes into production-ready solutions

  • Build and enhance backend components for advanced AI systems using Python and FastAPI

  • Ensure code quality and implement good software engineering practices

  • Participate in deployment and maintenance in a cloud environment (GCP, AWS, Azure)

Requirements

  • 5+ years of commercial software engineering experience with Python

  • Strong Python skills (clean code, OOP design)

  • Hands-on commercial experience with LLMs and Generative AI

  • Solid understanding of software design principles

  • Experience with backend frameworks (e.g., FastAPI) and databases (SQL/NoSQL)

  • Familiarity with Docker, Git, and basic CI/CD concepts

  • Practical experience in cloud environments (AWS, GCP, Azure)

  • Practical experience and strong interest in Data Science and Machine Learning

Benefits

  • Flexible remote or office work arrangements

  • Professional growth through career paths, knowledge sharing, language classes, and sponsored training/conferences

  • Training partnerships, including Databricks and Anthropic certifications/materials

  • Team-building events, integration budget use, and milestone celebrations

  • Medical and sports packages, eye care, and well-being support (including psychotherapy and coaching)

  • Full work equipment for productivity (laptop and necessary devices)

  • Opportunities to build your personal brand by speaking and writing

  • Onboarding with a dedicated buddy and an autonomous, supportive culture

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