Seasonal Associate Intern - Full Stack Developer

## Who Are We Looking For? We are seeking motivated Seasonal Associates 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. The position is fully remote from anywhere in the United States. At this time, we are unable to provide relocation or housing assistance for this internship. ## Key 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. - 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. - Obtain a fresh perspective, new ways of thinking, and emerging AI skills to solve real challenges, with the goal of delivering work with measurable impact. The intern may have the opportunity to present learning or deliverables to leadership before the internship concludes. ## Minimum Qualifications - By start date, a completed bachelor's degree. - Acceptance or enrollment verification, or at least 9 credit hours of completed graduate-level courses in computer science or a relevant discipline. - Must be a US citizen or lawful permanent resident, reside in the U.S., be authorized to work in the U.S., and perform all work in the U.S. per contract requirements. ## Preferred Qualifications - Demonstrated interest, knowledge, or early experience using AI coding assistants, such as 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, including prompt frameworks, vector databases, modern LLM APIs such as Anthropic and 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. ## Work Authorization and Sponsorship All candidates must be authorized to work in the United States. This position is not eligible for new H-1B visa sponsorship by ICF. Candidates who currently hold valid work authorization may be considered for a change of employer petition, subject to company policy and applicable immigration requirements. ## Pay Range The pay range for this position based on full-time employment is $41,822.00 - $71,098.00.