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Core Competencies
Role fitCore 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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesAWSAzureCloudJavaJavaScriptPythonTypeScript
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
