GenAI Internship (Summer 2026)

Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.

Application Deadline: September 14th, 11:59pm EST

Program Overview Video

Position Overview: 

CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for a motivated and detail-oriented Generative AI Intern to join our Global Data Science team in Houston, TX to support our Generative AI projects. The ideal candidate will have a solid technical background, a strong interest in commodities markets, and a passion for Data Science and AI. This internship provides a unique opportunity to gain practical experience in creating generative AI tools, work collaboratively with diverse teams, and contribute to projects with substantial commercial influence.

Responsibilities:

• Assist in the development and execution of a strategic roadmap for integrating generative AI technologies into the firm's trading operations.

• Collaborate with analysts and technologists to support the delivery of AI-driven projects.

• Contribute to ensuring the scalability, reliability, and robustness of generative AI tools in a production environment.

• Architect Multi-Agent Systems: Collaborate on the design of multi-agent systems where specialized agents work together to solve complex, cross-domain problems.

• Participate in managing projects, data cataloging, and metadata for the Generative AI initiative.

• Work closely with traders, analysts, and other stakeholders to translate business needs into technical solutions.

• Communicate complex AI concepts and outcomes to non-technical stakeholders in a clear and concise manner.

• Stay up to date on the latest advancements in generative AI, identifying opportunities for innovation.

Qualifications:

• Currently pursuing a Bachelor's Degree or higher in Mathematics, Statistics, Physics, Computer Science or a related field with a focus on Machine Learning.

• Expected graduation date of Winter 2026 or Spring/Summer 2027

• Hands-on experience with agentic AI frameworks (e.g., evolved versions of LangChain, LlamaIndex, Crew AI, etc.) for building tool-using, planning agents.

• Demonstrated experience of context engineering, with a deep understanding of techniques like Retrieval-Augmented Generation (RAG), advanced function calling, and model orchestration.

• Familiarity with building and integrating APIs or MCPs.

• Familiarity with the architecture of AI systems, including the role of vector databases (e.g., Pinecone, Weaviate) in providing long-term memory and context for agents.

• Excellent algorithmic problem-solving skills, with the ability to design systems that can navigate ambiguity.

• A strong sense of intellectual curiosity and a demonstrated passion for building the future of AI.

• Strong communication skills, with the ability to convey technical concepts to non-technical stakeholders.

Visit  https://www.cci.com/careers/life-at-cci/# to learn more!

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