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September 18, 2026
AI Engineer (LLMs, Python)
Mid • Remote
12,600 - 19,320 PLN/yr
Warsaw, Poland
Apply now
Quick Facts
- Role: AI Engineer (LLMs, Python)
- Focus: Scalable GenAI/LLM backend development
Description
Join a team to build scalable GenAI and LLM-based systems and help move Data Science prototypes into production-ready solutions. You will develop backend components in Python (including FastAPI), improve code quality, and support deployment and maintenance in cloud environments. Projects include building LLM-powered knowledge graphs from technical documents, automotive document intelligence pipelines, and advanced analysis tools for source code repositories.
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 frameworks like FastAPI
- Ensure code quality and apply good software engineering practices
- Participate in deployment and maintenance in cloud environments (GCP, AWS, Azure)
Requirements
- 3+ 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 cloud experience (AWS, GCP, Azure)
- Practical experience and strong interest in Data Science and Machine Learning
Benefits
- Supportive AI & Big Data-focused team
- Work with global enterprises and startups on international projects
- Flexible work (remote or modern offices/coworking spaces)
- Career growth paths, knowledge sharing, language classes, and sponsored training/conferences (Databricks and Anthropic partnership)
- Integration budget for team activities
- Medical and sports packages, eye care, well-being support (including psychotherapy and coaching)
- Full work equipment (e.g., laptop and necessary devices)
- Opportunities to boost your personal brand via speaking and writing (blog/meetups)
- Smooth onboarding with a dedicated buddy and a friendly, autonomous culture
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