compliance requirements. Integrate LLMs into client applications through prompt engineering, context management, and function/tool calling patterns. Leverage serverless infrastructure – AWS Lambda, DynamoDB, S3 – to build scalable, cost‐efficient backends for AI workloads. Collaborate with client engineering and product teams to translate requirements into agent architectures, contributing … strategy, vector store configuration, and retrieval evaluation. Python – strong, applied proficiency in an AWS and AI context. AWS infrastructure – working knowledge of Lambda, DynamoDB, and S3 as components of AI system backends. Observability – experience instrumenting AI systems with tracing, logging, and monitoring tooling (CloudWatch preferred). LLM integration ...