About The Position

ICF is seeking motivated Seasonal Associates with a foundation in programming and a passion for solving real problems using modern AI-enabled technology. The role is fully remote from anywhere in the United States. Associates will collaborate with senior engineers and technology partners, learn quickly, and apply GenAI tools and techniques alongside core software and data engineering practices. The opportunity is intended to provide fresh perspectives and emerging AI skills while delivering work with measurable impact. The associate may have the opportunity to present learning or deliverables to leadership before the internship concludes. Relocation and housing assistance are not available.

Requirements

  • By the start date, have completed at least 30 college credit hours in computer science or a relevant discipline.
  • Be a U.S. citizen or lawful permanent resident (Green Card holder), reside in the U.S., and be authorized to work in the U.S.; all work must be performed in the U.S. per contract requirements.

Nice To Haves

  • Demonstrated interest, knowledge, or early experience using AI coding assistants (e.g., GitHub Copilot, Claude Code, or ChatGPT) for software development tasks.
  • Familiarity with at least one programming language, such as Python, JavaScript/TypeScript, or Java.
  • Familiarity with GenAI/LLM tooling, such as prompt frameworks, vector databases, modern LLM APIs (Anthropic or OpenAI), or Model Context Protocol (MCP).
  • Experience with version control systems such as Git.
  • Exposure to cloud platforms such as AWS, Azure, or Google Cloud.
  • Strong analytical and problem-solving skills, with an interest in data and systems thinking.
  • Excellent communication skills and ability to work collaboratively in a team environment.
  • Enthusiasm for learning new technologies and applying them to real-world challenges.

Responsibilities

  • Support rapid prototype development using AI tools and AI frameworks.
  • Build lightweight front ends and back ends that allow stakeholders to interact with prototypes.
  • Apply responsible LLM usage, prompt design, and practical grounding patterns, such as grounding responses in authoritative client data.
  • Collaborate with senior engineers and technology partners to integrate, test, and demonstrate capabilities in real workflows.
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