Requirements: 2+ years of commercial experience with Python; Hands-on experience with LLMs and prompt engineering; Understanding of RAG, embeddings, token/context management; Experience with FastAPI/Flask, async, SQLAlchemy; Experience with ML/DL (PyTorch / TensorFlow / sklearn); Experience with NLP (Hugging Face, transformers); Experience with databases (SQL/NoSQL + vector DBs); Familiarity with Docker, CI/CD, cloud; Focus on code quality (testing, typing, linters); Upper-Intermediate English lever o higher. Responsibilities: Integrate and work with LLMs (OpenAI, Anthropic, Mistral); Build RAG pipelines (chunking, embeddings, retrieval); Use LangChain / LlamaIndex; Develop Python backend services (FastAPI/Flask); Apply ML/DL models (Transformers, classical ML); Work on NLP tasks (classification, NER, summarization); Contribute to Computer Vision tasks when needed; Work with vector DBs and traditional databases; Deploy and maintain services (Docker, CI/CD, cloud).