Seasonal Associate, Full Stack Developer
ICF
About the Role
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. This position is fully remote from anywhere in the United States.
Key Responsibilities
As a Seasonal Associate, Full-Stack Developer for the Chief Technology Office, you will:
- 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 our 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.
- A key objective of this opportunity is to create a win-win engagement where you obtain a fresh perspective, new ways of thinking, and emerging AI skills to solve real challenges.
- The goal is to deliver work with measurable impact, and the intern may have the opportunity to present learning or deliverables to leadership before the internship concludes.
Requirements & Tech Stack
Minimum Qualifications:
- By start date, a completed bachelor’s degree.
- Acceptance/ enrollment verification, or at least 9 credit hours of completed graduate-level courses in computer science or a relevant discipline.
- Candidate must be a US citizen or lawful permanent resident (Green Card holder), reside in the U.S., be authorized to work in the U.S., and all work must be performed in the U.S. per contract requirements.
Preferred Qualifications:
- 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.
Pay Range
The pay range for this position based on full-time employment is: $41,822.00 - $71,098.00 Nationwide Remote Office.