AI Intern

About the role

The SWBC College Intern Program in San Antonio, Texas, seeks talented students to gain real-world experience in the financial services industry. Specifically, we are looking for an AI Intern to support the design, development, and operationalization of Generative AI and machine learning solutions.

Responsibilities

• Build AI-enabled applications and prototypes leveraging generative AI and ML capabilities (e.g., retrieval-augmented generation, summarization, classification).
• Assist with MLOps pipelines: data/model versioning, training workflows, evaluation, packaging, and deployment processes.
• Support deployment and operations of models/services on AWS, including environment setup, basic CI/CD integration, and operational readiness tasks.
• Develop and maintain Python components such as APIs, inference services, evaluation scripts, and tooling.
• Participate in model testing and evaluation, including prompt experiments, performance benchmarking, and quality monitoring.
• Help document designs, experiments, and results; contribute to team standards and best practices.
• Collaborate with engineers and product stakeholders to translate requirements into deliverable AI features.

Requirements

• Currently pursuing a degree in Computer Science, Engineering, Data Science, or a related field (undergraduate or graduate welcome).
• Expected graduation date of December 2026 or later.
• Some hands-on experience with: Python (e.g., scripting, notebooks, basic software practices), ML/GenAI fundamentals (e.g., embeddings, transformers concepts, evaluation basics).
• Familiarity with at least one of the following: AWS (e.g., S3, IAM, Lambda, EC2, CloudWatch, ECR, SageMaker, Jupyter notebooks), Basic API development (Flask/FastAPI), Git and collaborative development workflows.
• Strong communication skills and ability to work effectively in a corporate, cross-functional environment.
• Exposure to MLOps tools and practices (CI/CD, model registries, experiment tracking, monitoring).
• Experience with LLM application patterns, such as: Retrieval-Augmented Generation (RAG), Prompt engineering, prompt evaluation, guardrails.
• Familiarity with containerization (Docker) and orchestration concepts.
• Understanding of software engineering fundamentals (unit tests, code reviews, documentation).
• Deliver working prototypes or production-ready components that demonstrate measurable improvements (e.g., faster iteration, higher quality responses, improved reliability).
• Contribute to repeatable, documented workflows for building and deploying AI solutions.
• Collaborate effectively with the team and communicate progress clearly.

Qualifications

• Strong communication skills and ability to work effectively in a corporate, cross-functional environment.
• Exposure to MLOps tools and practices (CI/CD, model registries, experiment tracking, monitoring).
• Experience with LLM application patterns, such as: Retrieval-Augmented Generation (RAG), Prompt engineering, prompt evaluation, guardrails.
• Familiarity with containerization (Docker) and orchestration concepts.
• Understanding of software engineering fundamentals (unit tests, code reviews, documentation).
• Deliver working prototypes or production-ready components that demonstrate measurable improvements (e.g., faster iteration, higher quality responses, improved reliability).
• Contribute to repeatable, documented workflows for building and deploying AI solutions.
• Collaborate effectively with the team and communicate progress clearly.

Skills

• Python
• ML/GenAI fundamentals
• AWS
• Basic API development
• Git and collaborative development workflows
• MLOps tools and practices
• LLM application patterns
• Containerization
• Software engineering fundamentals

Benefits

• Competitive overall compensation package
• Work/Life balance
• Employee engagement activities and recognition awards
• Years of Service awards
• Career enhancement and growth opportunities
• Leverage Academy and Mentor Program
• Continuing education and career certifications
• Variety of healthcare coverage options
• Traditional and Roth 401(k) retirement plans
• Lucrative Wellness Program

Pay

Competitive overall compensation package

Schedule

Full-time internship