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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates foundational understanding of Python, Large Language Models (LLMs), and Prompt Engineering, with the ability to design and optimize AI solutions for business applications. Strong problem-solving skills and effective communication are essential for collaborating with business leaders and contributing to AI workflows.
Highest-signal resume keywords
Python ProgrammingLarge Language Models (LLMs)Prompt EngineeringSQL and Database ConceptsAI Fluency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Python ProgrammingLarge Language Models (LLMs)Prompt EngineeringSQLMachine Learning ApplicationsSoftware DevelopmentAgile Development ConceptsAI IntegrationAnalytical ThinkingProblem-Solving
Soft Skills
Verbal CommunicationWritten CommunicationLeadershipCollaborationNetworking
Industry Keywords
AI WorkflowsGenerative AI ApplicationsPrompt OrchestrationAgentic AI SolutionsPrompt Guardrails
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Support the team under direct supervision and guidance from senior engineers and an assigned mentor
- Design, develop, and deploy Large Learning Models for production environments
- Design, test, and optimize prompts for LLMs and generative AI applications
- Contribute to AI workflows, agentic AI solutions, and prompt orchestration to automate business processes
- Partner with business leaders to translate business problems into AI-enabled solutions
- Evaluate AI outputs, measure quality, and continuously refine prompt performance
- Design and enforce prompt guardrails to ensure compliant solutions
- Research emerging AI models, prompting techniques, and agent frameworks
- Participate in professional development opportunities, networking events, mentorship programs, and team-based projects
Requirements
What you’ll need- Pursuing a degree from an accredited college or university and planning to graduate after the final day of the internship
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field
- Anticipated graduation date between September 2027 and May 2028
- Foundational understanding of Python
- Foundational understanding of Large Language Models (LLMs)
- Foundational understanding of Prompt Engineering
- Foundational understanding of SQL and database concepts
- Problem-solving and analytical thinking
- Strong verbal and written communication skills
- Demonstrated leadership through coursework, projects, student organizations, employment, or community involvement
- USAA does not provide visa sponsorship; candidates must not require immigration support now or in the future, including H-1B, TN, or STEM OPT Training Plans
- Experience building production AI or machine learning applications
- AI Fluency
- Experience integrating AI into enterprise systems
- Coursework or project experience involving software development
- Understanding of Agile development concepts
- Interest in AI-assisted development and emerging technologies
Benefits
Comp & perks- Professional development opportunities
- Networking events
- Mentorship programs
- Team-based projects
- Intern stipend to assist with expenses
- Comprehensive medical, dental and vision plans
- 401(k)
- Pension
- Life insurance
- Parental benefits
- Adoption assistance
- Paid time off program
- Paid holidays
- 16 paid volunteer hours
- Wellness programs
- Career path planning
- Continuing education assistance