AI Engineer Intern - USA

• 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.

• Programming: Strong working knowledge of Python.
• Applied AI / GenAI: Hands-on experience building or integrating ML or Generative AI solutions.
• Generative AI: Practical experience with LLMs, prompt engineering, and/or RAG-based architectures.
• Backend Development: Experience building APIs using FastAPI, Flask, or Node.js (TypeScript).
• Frontend Development: Working experience building React-based user interfaces and integrating them with backend APIs.
• Data Handling: Experience working with structured and unstructured data, including basic preprocessing or ETL.
• APIs & Cloud: 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.

• 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.

Black Box is a leading technology solutions provider focused on accelerating customer success through innovation, ownership, transparency, and collaboration.

With over 2,500 team members across 24 countries , Black Box delivers high-value solutions globally and is a wholly-owned subsidiary of AGC Networks .

Black Box is an equal opportunity employer .