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Must-Haves
Proven experience building GenAI applications
Strong with RAG (Retrieval-Augmented Generation) and Agent workflows
Proficient in AWS Bedrock and LangChain
Skilled in ML evaluations, comparisons, and data analysis
Very hands-on with application development
Experience with LangGraph framework
Solid foundation in Data Science and ML libraries
Nice-to-Haves
Experience with Snowflake
Familiarity with Coretext (AI for agent building)
High-Level Use Cases
Client Experience: Enhance user interactions
Client Data Insights: Support Relationship Managers (RMs)
Product Usage Analytics
Risk Mitigation & Predictive Monitoring: Improve observability and risk detection