AI Intern USA at Black Box in Plano, TX

Summary: Black Box is a leading global communications system integrator specializing in technology solutions. The AI Engineer Intern will contribute to the design, development, and integration of applied AI solutions, gaining hands-on experience in building enterprise-grade Generative AI solutions and working closely with experienced AI engineers. Responsibilities: - Build and integrate AI solutions using pre-trained LLMs for conversational AI, summarization, and enterprise knowledge retrieval - Implement RAG-based architectures connecting LLMs with structured and unstructured enterprise data - Develop and test AI agents, traditional ML models, and deterministic logic for real-world use cases - Contribute to AI orchestration using LangChain and workflow automation using n8n - Build AI-enabled user interfaces and integrate them with backend services - Develop and maintain backend APIs and services - Integrate AI solutions with enterprise platforms such as ServiceNow, SAP, Salesforce, and Azure services - Build and maintain data pipelines, including preprocessing and quality checks - Support testing, debugging, deployment, and monitoring of AI services on Azure - Document AI workflows, integrations, and solution lifecycle updates - Collaborate with AI, data, and platform teams to deliver production-ready AI solutions - Continuously learn and apply best practices in Generative AI, RAG patterns, and enterprise AI systems Required Qualifications: - Currently pursuing a Master's degree in Engineering or a related field (Computer Science, Artificial Intelligence, Data Science, or similar) - Must have at least 6 months remaining to complete the Master's program at the time of joining - Must have a minimum of 2 years of relevant professional experience between Bachelor's and Master's programs - Prior experience must include applied AI / Machine Learning, with hands-on exposure to Generative AI use cases - Available for a full-time, on-site internship for a minimum of 6–12 months (depending on academic program constraints) - Strong working knowledge of Python - Hands-on experience building or integrating ML or Generative AI solutions - Practical experience with LLMs, prompt engineering, and/or RAG-based architectures - Experience building APIs using FastAPI, Flask, or Node.js (TypeScript) - Working experience building React-based user interfaces and integrating them with backend APIs - Experience working with structured and unstructured data, including basic preprocessing or ETL - Experience consuming REST APIs and familiarity with cloud platforms (Azure preferred) - 2+ years of relevant professional experience between Bachelor's and Master's programs - Experience in applied AI, machine learning, or software engineering with AI components - Ability to translate AI concepts into working prototypes or production-ready solutions - Strong learning mindset, ownership, and clear communication with a structured problem-solving approach Preferred Qualifications: - Familiarity with NLP concepts and foundational Generative AI models - Awareness of responsible AI and basic AI governance concepts - Exposure to Microsoft Power Platform or low-code automation tools Required Skills: Python, Applied AI, Generative AI, Large Language Models (LLMs), Prompt engineering, RAG-based architectures, Backend API development, FastAPI, Flask, Node.js, TypeScript, React, Data preprocessing, ETL, REST APIs, Azure, Learning mindset, Structured problem solving