Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
ICF

Seasonal Associate, Full Stack Developer

ICF

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

Posted 10/22/2026part-timeRemote • Virginia • United StatesJuniorMid-Level💰 $41,822 - $71,098 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 developing lightweight front and back ends for prototype interaction while collaborating effectively with teams and presenting deliverables.

Highest-signal resume keywords
AI Tools ProficiencyProgramming Language FamiliarityVersion Control ExperienceCloud Platform ExposureAnalytical Problem-Solving Skills

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
AI FrameworksPrompt DesignPythonJavaScriptTypeScriptJavaVersion Control SystemsGitGenAI ToolingLLM APIs
Soft Skills
Strong Analytical SkillsExcellent Communication SkillsCollaborative TeamworkEnthusiasm for Learning
Tools & Technologies
GitHub CopilotClaude CodeChatGPTAWSAzureGoogle CloudVector DatabasesModel Context Protocol
Industry Keywords
Rapid Prototype DevelopmentResponsible LLM UsageStakeholder InteractionMeasurable ImpactGraduate-Level Courses

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 that allow stakeholders to interact 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, 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)
  • Must 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
  • 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, including prompt frameworks, vector databases, modern LLM APIs, 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
  • Excellent communication skills and ability to work collaboratively in a team environment
  • Enthusiasm for learning new technologies and applying them to real-world challenges
  • AI tools may not be used to generate or assist with interview responses, except as an approved accommodation
  • This position is not eligible for new H-1B visa sponsorship