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ICF

Seasonal Associate, Full Stack Developer

ICF

. Support rapid prototype development using AI tools and AI frameworks .

Posted 10/21/2026part-timeRemote • United StatesJuniorMid-Level💰 $34,564 - $58,758 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates proficiency in AI tools and frameworks, with a focus on responsible LLM usage and prompt design. Capable of building front-end and back-end prototypes while collaborating effectively with teams to deliver impactful results.

Highest-signal resume keywords
AI Tools And FrameworksProgramming Languages: Python, JavaScript/TypeScript, JavaGenAI/LLM ToolingVersion Control Systems: GitCloud Platforms: AWS, Azure, Google Cloud

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI Tools And FrameworksProgramming Languages: PythonProgramming Languages: JavaScriptProgramming Languages: TypeScriptProgramming Languages: JavaGenAI/LLM ToolingVersion Control Systems: GitCloud Platforms: AWSCloud Platforms: AzureCloud Platforms: Google Cloud
Soft Skills
Analytical SkillsProblem-Solving SkillsCommunication SkillsTeam CollaborationEnthusiasm For Learning
Tools & Technologies
AI Coding Assistants: GitHub CopilotAI Coding Assistants: Claude CodeAI Coding Assistants: ChatGPTPrompt FrameworksVector DatabasesModern LLM APIsMCP
Industry Keywords
Responsible LLM UsagePrompt DesignGrounding PatternsStakeholder InteractionRapid Prototype Development

Tech Stack

Tools & technologies
AWSAzureCloudJavaJavaScriptPythonTypeScript

About the role

Key responsibilities & impact
  • Support rapid prototype development using AI tools and AI frameworks
  • Build lightweight front ends and back ends for stakeholder interaction with prototypes
  • Apply responsible LLM usage, prompt design, and grounding patterns using authoritative client data
  • Collaborate with senior engineers and technology partners to integrate, test, and demonstrate capabilities in real workflows
  • Deliver work with measurable impact
  • Potentially present learning or deliverables to leadership before the internship concludes

Requirements

What you’ll need
  • By start date, at least 30 completed college credit hours in computer science or a relevant discipline
  • Must be a US citizen or lawful permanent resident (Green Card holder)
  • Must reside in the U.S.
  • Must be authorized to work in the U.S.; all work must be performed in the U.S.
  • Demonstrated interest, knowledge or early experience using AI coding assistants such as GitHub Copilot, Claude Code, or ChatGPT
  • 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, or 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
  • No new H-1B visa sponsorship available

Benefits

Comp & perks
  • Reasonable accommodations throughout the application and employment process
  • Equal opportunity employer
  • Benefit offerings referenced in the Transparency in Benefits Coverage Act