Senior AI Developer

Description

Job Summary: Design, develop, and implement artificial intelligence software solutions using advanced technologies and team collaboration. Key Highlights: 1. Development of AI solutions focused on NLP and machine learning. 2. Implementation of LLMs and optimization of embeddings. 3. Team collaboration on scalable and high-performance architectures. Description: Requirements: * Experience with N8N is mandatory. * Experience with RAG (Retrieval\-Augmented Generation) and embedding optimization. * Solid experience in software development for artificial intelligence applications. * Proficiency in programming languages: Python, JavaScript/TypeScript/Node.js, or Go. * Experience with AI frameworks such as PyTorch, Scikit\-Learn, and Langchain. * Knowledge of NLP libraries such as NLTK, spaCy, and Hugging Face Transformers. * Experience in text preprocessing and LLM implementation. * Experience with scalable and high-performance software architectures oriented toward AI. * Knowledge of web development with FastAPI and React (NextJS). * Experience with MLOps, Docker, and Kubernetes for AI model deployment. * Teamwork skills and strong communication ability. Responsibilities: * Design, develop, and implement software solutions using artificial intelligence technologies. * Work with AI-specific algorithms and techniques, including NLP and machine learning. * Implement AI solutions using programming languages such as Python, JavaScript/TypeScript/Node.js. * Use AI frameworks such as PyTorch, Scikit\-Learn, and Langchain to develop scalable solutions. * Implement NLP solutions using tools such as NLTK, spaCy, and Hugging Face Transformers. * Perform text preprocessing, including tokenization, embedding generation, and stop-word removal. * Work with Large Language Models (LLMs), such as GPT and Llama, applying best practices in software architecture. * Develop web applications using frameworks such as FastAPI and React (NextJS). * Collaborate on implementing solutions using MLOps, Docker, and Kubernetes for AI model deployment. * Participate in HAG (Hyper\-Agility) processes to ensure rapid and efficient delivery. * Integrate and optimize embeddings to improve AI solution performance. * Mentor and support team members, fostering a learning and collaborative environment. 2511170202461814706