You’ll work in the Risk Valuation Services area at S&P, a prestigious division delivering independent valuations and risk analytics for complex and illiquid assets.
This initiative involves building the core of an internal AI framework in Python, integrated with various Large Language Models (LLMs) and designed to set new standards for security, prompting, and orchestration.
responsibilities :
Building the core of an internal AI framework in Python
Integrating various Large Language Models (LLMs)
Setting new standards for security, prompting, orchestration
requirements-expected :
Strong hands-on experience with Python
Proven background in AI / Data Science
Experience with LangChain or similar libraries for LLM integrations
Familiarity with LangGraph or comparable tools for workflow orchestration
Experience with LangFuse / LangSmith or other tools focused on observability and monitoring
Experience working with AWS services (e.g. Lambda, S3, ECS, SageMaker, or similar)
Working knowledge of databases and backend technologies (e.g. PostgreSQL, agent core frameworks)
