Artificial Intelligence Engineer - Intern
Farm Credit Services of AmericaAbout the role
AgCountry Farm Credit Services (AgCountry), Farm Credit Services of America (FCSAmerica) and Frontier Farm Credit are financial cooperatives that operate under shared management across eight states. While each association is owned by its local farmers and ranchers, they collaborate by pooling resources, expertise, and talent to provide affordable credit, crop insurance, and financial services.Our associations are united by a common mission and commitment to serving rural America and supporting each other, which drives the success of the farmers, ranchers, and agribusiness we serve. We take pride in being a great place to work, and this enthusiasm is reflected in the relationships our team members foster with one another and with our customers.Job Summary As an AI Engineer Intern, you’ll join a team focused on turning cutting-edge AI concepts into production ready solutions. This role blends hands-on experimentation with practical engineering, giving you exposure to the full AI lifecycle—from sandbox prototyping and generative AI model evaluation to packaging, deployment, and monitoring. You’ll work alongside experienced engineers and governance teams to learn modern AI engineering practices, contribute to real projects, and help build the foundations that make AI reliable, scalable, and secure. Essential Duties & Responsibilities
Experiment with Generative AI models, frameworks, and platforms—such as Snowflake, Microsoft 365 Copilot, and others—to explore new capabilities for AI agent automation and intelligent workflows. Design and implement prompt engineering strategies, including advanced techniques such as Retrieval-Augmented Generation (RAG), to improve accuracy and contextual relevance. Evaluate Generative AI applications for performance, cost-efficiency, and ethical compliance, including bias detection and content safety. Engage with business units, product management, and technical teams to gather requirements and translate them into actionable technical so
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