AI Innovation Intern at Reingold, Inc. in Alexandria, VA

Summary: Reingold, Inc. is a full-service marketing and creative firm based in Alexandria, VA, dedicated to helping organizations improve the world. They are seeking an AI Innovation Intern who will contribute to projects involving AI-powered workflows and tools, collaborating with various teams to enhance operations and deliver innovative solutions. Responsibilities: - Experimenting with agent-building tools (pro-code and no-code) and APIs from platforms like OpenAI, Anthropic, and vector databases - Exploring and evaluating tools such as Glean, Microsoft Copilot, and other emerging AI assistants - Testing and benchmarking new AI technologies in real Reingold workflows to assess performance and impact - Collaborating with strategists, marketers, and tech teams to identify problems and brainstorm AI solutions - Designing and refining internal tools and automations to enhance operations or analysis - Building and testing reusable AI components (embeddings, retrievers, agents) for projects across teams - Integrating and transforming data from various sources to support robust AI workflows - Running experiments on AI workflow reliability, accuracy, and cost-effectiveness - Documenting results, identifying opportunities for improvement, and sharing insights with the team - Creating clear documentation and user guides for prototypes and tools - Sharing learnings and best practices with the broader Reingold community - Participating in hands-on learning, troubleshooting, and iterative development throughout all projects Required Qualifications: - Hands-on experience building AI or automation projects — through professional work, coursework, or self-directed experiments - Deep interest in how emerging AI tools work, eagerness to explore new frameworks or APIs - Willingness to debug, test, and optimize AI workflows for cost, latency, and reliability - Demonstrated problem-solving skills; you can take a vague goal and figure out how to build something that works - Collaborative mindset and strong communication skills, especially when explaining technical work to non-technical teammates - Possess a bachelor's degree - A bias toward action; you like to build, test, learn, and iterate Preferred Qualifications: - Experience deploying small applications or tools - Knowledge of cloud platforms (AWS, Azure, GCP) or serverless AI services - Experience with prompt engineering and evaluating generative model performance - Exposure to automation frameworks (e.g., N8N, Zapier, Make, or API-based integrations) Required Skills: AI project development, Automation project development, AI tools, frameworks, API integration, AI workflow debugging, optimization, Prompt engineering, Generative model evaluation, Cloud platforms, Serverless AI services, Automation frameworks, Bias toward action, Collaborative mindset