About this role
Design and implement agentic AI architectures and LLM-powered applications, including ReAct, plan-and-execute, tool-using agents, multi-agent systems, and agent memory. Build and deploy RAG pipelines and integrations, ensure production readiness with monitoring, logging, safety guardrails, and partner with stakeholders to translate business requirements into scalable agent workflows.
Skills for this role
PythonLLM APIsMCPReActPlan-and-ExecuteTool-using agentsMulti-agent systemsLLM-powered application developmentPrompt engineeringEmbeddingsSemantic searchRetrieval-Augmented Generation (RAG)Vector databasesAgent memory systemsAPI integrationMicroservicesBackend system designDatabasesAzureAWSGCPMonitoringLoggingEvaluation frameworksError handlingFallback logicProduction deploymentSafety and policy complianceGuardrailsOrchestration patterns''Model provider evaluation