Summer Internship- Software Quality Assurance (Graduate Level)

Federal Reserve System • Philadelphia, PA

10d • Onsite

About The Position

The Federal Reserve Bank of Philadelphia is one of the 12 regional Reserve Banks that, together with the Board of Governors in Washington, D.C., make up the Federal Reserve System. It helps formulate and implement monetary policy, supervises banks and bank and savings and loan holding companies, and provides financial services to depository institutions and the federal government. The Federal Reserve Bank of Philadelphia serves eastern and central Pennsylvania, southern New Jersey, and Delaware. We are seeking a talented and motivated graduate level summer intern to join our dynamic and innovative Software Quality Assurance team. In this role, you will have an opportunity to directly influence our technical roadmap by exploring, evaluating and piloting cutting-edge Gen-AI solutions to accelerate software testing and optimize, quality assurance. This is a paid internship, Monday- Friday, (40 hours per week). Our Summer Internship Program is typically 10 weeks. The hourly rate for this position is $28.00 per hour. As an Intern within our team, you will dive into emerging concepts like Retrieval-Augmented Generation (RAG) and Model Context Protocol (MCP). You will collaborate with experienced professionals, gain hands-on experience with data-driven quality assurance, and deliver impactful, production-ready recommendations.

Requirements

• Python Proficiency: Strong foundation in Python for script automation and integrating with popular AI frameworks.
• Generative AI Fundamentals: Understanding of Large Language Models (LLMs), including prompt engineering and the mechanics of model evaluation.
• RAG Architecture: Knowledge of Retrieval-Augmented Generation (RAG) concepts, specifically how to connect LLMs to external data sources.
• Self-Motivated Problem Solving: Ability to take a project from initial concept to pilot deployment with minimal supervision.
• Effective Communication: Ability to translate technical findings into actionable recommendations for the team’s long-term roadmap.

Nice To Haves

• Industry Awareness: Actively stays updated with emerging AI research and tools (e.g., following latest releases from Anthropic, OpenAI, or AWS).
• Adaptability: Proven ability for quickly learning new technologies and experimentation using software and automation.
• Modern QA Frameworks: Familiarity with standard automation tools like Pytest, Playwright, or Selenium to integrate AI solutions into existing pipelines.

What This Job Offers

• Job Type: Part-time
• Career Level: Intern
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees