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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 ProficiencyProgramming Language FamiliarityGenAI/LLM Tooling KnowledgeVersion Control ExperienceCloud Platform Exposure
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonJavaScriptTypeScriptJavaAI Coding AssistantsPrompt FrameworksVector DatabasesModern LLM APIsModel Context ProtocolVersion Control Systems
Soft Skills
Analytical SkillsProblem-Solving SkillsCommunication SkillsCollaborative SkillsEnthusiasm for Learning
Tools & Technologies
GitAWSAzureGoogle Cloud
Industry Keywords
Rapid Prototype DevelopmentStakeholder InteractionResponsible LLM UsageClient Data GroundingReal Workflows
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. per contract requirements
- 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 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
- Enthusiasm for learning new technologies and applying them to real-world challenges
- Must submit the application directly; third-party applications may be excluded
- AI tools may not be used to generate or assist with interview responses, except where required as an accommodation
Benefits
Comp & perks- Fully remote work from anywhere in the United States
- Reasonable accommodations for disability, religious beliefs, disabled veterans, and individuals with disabilities
- Equal opportunity employment
- Opportunity to gain emerging AI skills and fresh perspectives
- Opportunity to present learning or deliverables to leadership
- No relocation or housing assistance provided
