AI Innovation Intern

Reingold•Alexandria, VA

51d•Onsite

About The Position

Are you hungry to learn, eager to experiment, and excited by the idea of using cutting-edge AI to solve real-world problems? Do you love rolling up your sleeves, building quick prototypes, and finding creative solutions where others see obstacles? If so, you'll thrive as a Reingold AI Innovation Intern! As an AI Innovation Intern, you'll be a hands-on contributor from day one-jumping into projects that challenge you to identify opportunities, build fresh tools, and bring bold ideas to life. You'll help develop and test new AI-powered workflows, automations, and products that enhance how Reingold operates and delivers for clients. Whether it's data analysis, natural language processing, workflow automation, or content generation, you'll help push boundaries through rapid experimentation and practical development. This is the role for someone who's scrappy, resourceful, and ready to turn curiosity into impact. At Reingold, you'll collaborate across teams, learn from experienced mentors, and have the space to try, fail, improve, and succeed. If you're ready to help shape the future of how we work-with persistence, creativity, and ambition-we want you on our team!

Requirements

Hands-on experience building AI or automation projects - through professional work, coursework, or self-directed experiments.
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.
Willingness to debug, test, and optimize AI workflows for cost, latency, and reliability.
Deep interest in how emerging AI tools work, eagerness to explore new frameworks or APIs. You're the type who experiments just to see what's possible.

Nice To Haves

A bias toward action; you like to build, test, learn, and iterate.
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).

Responsibilities

Experimenting with agent-building frameworks (e.g., n8n, LangChain) 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.