Castleton Commodities International is seeking a talented and detail-oriented Applied AI Engineer to join their Global Data Science team. This role focuses on helping internal technology and commercial teams adopt AI tooling effectively by working hands-on with CCI’s GenAI platform and approved enterprise AI tools to translate business needs into reliable AI-enabled solutions.
Responsibilities:
- Partner with traders, analysts, operators, technologists, and business stakeholders to identify workflows where AI can reduce manual effort, improve quality, or accelerate analysis
- Configure and support approved AI tools and platform capabilities, including GenAI projects, agents, skills, knowledge bases, SQL resources, model presets, and MCP-enabled tools
- Design and maintain high-quality AI context, including system instructions, prompt templates, examples, reference materials, retrieval sources, workflow guardrails, and output formats
- Support RAG and document-intelligence workflows, including document ingestion, chunking, metadata design, retrieval quality, structured extraction, and validation with subject-matter experts
- Evaluate AI outputs for accuracy, groundedness, completeness, formatting, usability, and business value; use feedback and test cases to improve configurations over time
- Create reusable playbooks, templates, demos, and reference materials that help technology and commercial teams use AI safely and effectively
- Communicate AI capabilities, limitations, risks, and recommended usage patterns clearly to both technical and non-technical stakeholders
- Stay current on practical advancements in applied AI, context engineering, enterprise copilots, agentic workflows, RAG, and AI evaluation methods