Python Developer (Generative AI / RAG)

Zakres obowiązków Your responsibilities Design and develop backend services in Python Build AI-powered features using modern Generative AI technologies Implement solutions such as: document classification speech-to-text processing RAG-based knowledge systems AI assistants and workflow automation Integrate AI services with existing internal systems Collaborate with domain development teams who will integrate your solutions into their products Contribute to architectural decisions in a growing AI-focused team This role is 100% development (no maintenance/support work). Wymagania Must have Solid commercial experience in Python Hands-on experience with Generative AI in real projects working with LLM APIs (e.g. OpenAI or similar) building RAG-based solutions understanding of embeddings, context handling, token limits Experience with tools such as: LangChain Langflow Ollama llama.cpp Experience designing and building REST APIs Experience working with relational databases (MySQL or PostgreSQL) Ability to design clean, modular, scalable backend architecture Nice to have (not required) Basic knowledge of React Basic knowledge of PHP (our main backend language in other teams - willingness to learn is enough) Who this role is perfect for A Python developer who has already worked with LLMs and wants to go deeper Someone who enjoys building real applications, not just experimenting with AI A backend-focused engineer open to light fullstack collaboration A developer who wants to shape how AI is applied in large-scale internal systems Oferujemy Salary depending on the experience (junior/mid/senior) 12 000 - 27 000 PLN net + VAT on the B2B contract 10 000 - 21 500 PLN gross on contract of employment Opportunity to work remotely Opportunity to build real AI solutions in production systems A dedicated AI-focused team within a stable organization Mentoring and collaboration with experienced developers Agile environment (Scrum, Jira) Modern development environment (JetBrains ecosystem) Clear separation between development and maintenance teams Long-term, stable projects in the education sector