S&P Global Commodity Insights 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
S&P Global Commodity Insights 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.
Our benefits include health care coverage, generous time off, continuous learning resources, retirement planning, and family-friendly perks.
Matching Summary
S&P Global Commodity Insights 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 / LLM application frameworks
large language models
Python
API design
microservices
cloud computing
Nice-to-have
AI safety and alignment concepts
ethical AI design principles
multi-agent coordination
enterprise settings
Key Requirements
10+ years of experience
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience
Hands-on experience building with large language models
Experience with agentic AI / LLM application frameworks
Knowledge of prompting strategies, RAG, and tool-augmented AI patterns
Familiarity with major cloud platforms and modern deployment practices
Background in knowledge graphs, vector search, and embedding-based retrieval
Proven hands-on experience with API design, microservices, cloud computing, ETL, CI/CD, and production operations