Company Description Reality Systems is a technology company focused on building advanced AI solutions for real-world applications. The organization values practical innovation, strong engineering fundamentals, and clear communication. Team members collaborate remotely across the United States to design, develop, and deploy AI-powered products and tools. Reality Systems offers opportunities to work with modern AI technologies while contributing to scalable, production-grade systems that support clients and internal initiatives. Role Description This is a full-time, remote contractor role for a mid-level AI Engineer / Developer based in the United States, with English language proficiency required. The AI Engineer / Developer will design, implement, and optimize AI models and algorithms, focusing on pattern recognition, neural networks, and natural language processing. Day-to-day responsibilities include developing and maintaining production-quality software, integrating AI components into existing systems, and collaborating with cross-functional stakeholders to understand requirements and translate them into technical solutions. The role involves data preparation and preprocessing, model training and evaluation, performance tuning, and documentation of workflows and architectures. The contractor will also help monitor deployed models,



troubleshoot issues, and contribute to continuous improvement of AI development practices and tools. Qualifications
• Strong foundation in Computer Science and Software Development, including data structures, algorithms, and software engineering best practices.
• Experience with Pattern Recognition and Neural Networks, including designing, training, and evaluating models for real-world use cases.
• Hands-on work with Natural Language Processing (NLP), such as text classification, entity recognition, and language model integration.
• Proficiency in modern programming languages commonly used for AI (e.g., Python) and relevant libraries or frameworks (e.g., PyTorch, TensorFlow).
• Experience building and deploying AI solutions in production environments, including use of APIs, containers, and cloud platforms.
• Ability to work independently in a remote setting, manage priorities, and communicate clearly in English with technical and non-technical stakeholders.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
• Familiarity with MLOps practices, version control (e.g., Git), and collaborative development workflows is beneficial.

📌 AI Engineer (Argentina)
🏢 Reality Systems
📍 Argentina