About this role
Design, build, and support Python-based AI-enabled applications and AI agents that automate research, synthesize intelligence, and support strategic analysis using technologies such as LLMs, RAG, MCP, and agentic frameworks; develop data pipelines and partner with cross-functional teams to deploy scalable, production-ready solutions while maintaining testing, access, and governance controls.
Skills for this role
PythonSoftware developmentData engineeringAPIsDatabasesData integrationStructured dataUnstructured dataLarge language modelsApplied AIPrompt designPrompt evaluationProduction implementationRetrieval-Augmented Generation (RAG)LangChainModel Context Protocol (MCP)Agent-based applicationsAI agentsVersion controlCode reviewTestingDocumentationMonitoringIssue resolutionCloud platformsContainerizationCI/CDEnterprise application deploymentAI governanceInformation security (infosec) considerations related to AI outputs and data use