The S&P Global Commodity Insights team empowers organizations to create long-term, sustainable value by providing data and insights that deliver a comprehensive view of global energy and commodities markets
Job Summary
The S&P Global Commodity Insights team empowers organizations to create long-term, sustainable value by providing data and insights that deliver a comprehensive view of global energy and commodities markets.
You will play a crucial role in developing products for the ETSS group, leading architecture and defining enterprise and application architectures centered on data modeling and agentic AI applications.
Benefits include health & wellness, flexible downtime, continuous learning resources, retirement planning, and family-friendly perks.
Matching Summary
The S&P Global Commodity Insights team empowers organizations to create long-term, sustainable value by providing data and insights that deliver a comprehensive view of global energy and commodities markets.
Skills & Requirements
Must-have
agentic AI applications
data modeling
large language models
Python programming
API design
microservices
cloud computing
Nice-to-have
AI safety and alignment
ethical AI design
multi-agent coordination
enterprise settings
knowledge graphs
vector search
Key Requirements
Bachelor's degree or equivalent practical experience
10+ years of application development experience
Hands-on experience with LLM application frameworks
Experience with retrieval-augmented generation (RAG)