AI Development Intern

Concept Plus, LLCFairfax, VA

About The Position

We are seeking a highly motivated Summer Intern interested in learning and applying modern AI concepts to build real-world software applications. This role is ideal for a student who enjoys working with large language models (LLMs), Agentic AI, Model Context Protocol (MCP), modern programming languages, and cloud-based application development. The intern will gain hands-on experience developing production-quality tools, prototypes, and automation workflows using state-of-the-art AI technologies.

Requirements

  • US Citizen
  • Foundational understanding of AI, neural networks, machine learning concepts, or computational thinking
  • Experience with programming languages such as Python, JavaScript, Java, C++, or similar
  • Exposure to or interest in cloud platforms, REST APIs, or Docker
  • Ability to break down complex problems and communicate clearly with technical and non-technical stakeholders
  • Curiosity, adaptability, and comfort learning new tools and frameworks

Nice To Haves

  • Familiarity with data structures, algorithms, and object-oriented programming

Responsibilities

  • Learn and apply modern AI technologies, including LLMs, agent frameworks, MCP, and retrieval-augmented systems
  • Support the design, development, and testing of AI-powered applications and automation tools
  • Build, iterate, and refine prototypes using Python, JavaScript, or other modern languages
  • Assist with integration of REST APIs, cloud services, and structured application architectures
  • Participate in user research, product requirements gathering, and feature prioritization
  • Document system logic, workflows, and technical decisions for maintainable delivery
  • Collaborate with cross-functional teams to bring ideas from concept to production
  • Contribute to experimentation, A/B testing, and evaluation of AI-driven features
  • Assist other teams with commercial product development.
  • Prepare documentation for all developed components.
  • Demonstrate work product
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