2026 Summer Intern, AI Engineering

ICF•Reston, VA

1d•Remote

About The Position

ICF's Health, People, & Human Services (HPHS) operating group delivers solutions that improve health outcomes, strengthen public systems, and support communities. The HPHS Technology Office provides advisory support and innovation services across the operating group, partnering with domain experts to identify where technology can accelerate mission delivery and unlock new capabilities. This role involves working hands-on alongside delivery teams to solve real-world challenges. We are seeking a motivated intern with a foundation in programming and a passion for solving real problems using modern AI-enabled technology. The ideal candidate is eager to collaborate, comfortable learning quickly, and interested in applying GenAI tools (e.g., LLMs and prompt techniques) alongside core software and data engineering practices. This is a full-time, 10-week internship beginning early June 2026. The position is fully remote from anywhere in the United States. Pay is expected to be $28/hour for graduate level interns.

Requirements

By start date, acceptance/ enrollment verification, or at least 9 credit hours of completed graduate-level courses in computer science or a relevant discipline
A completed bachelor’s degree
Candidate must be a US citizen or lawful permanent resident (Green Card holder)
Reside in the U.S.
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 in using AI coding assistants (e.g., GitHub Copilot, Claude Code, ChatGPT) for software development tasks
Familiarity with at least one programming language (such as Python, JavaScript/TypeScript, or Java)
Familiarity with GenAI/LLM tooling — prompt frameworks, vector databases, modern LLM APIs (Anthropic, OpenAI), or Model Context Protocol (MCP)
Experience with version control systems (e.g., 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
Gain hands-on experience building lightweight front ends and back ends that allow stakeholders to interact with prototypes
Navigate 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
Create a win-win engagement where you obtain a fresh perspective, new ways of thinking, and emerging AI skills to solve real challenges
Deliver work with measurable impact
Potentially present learning or deliverables to leadership before the internship concludes