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