About this role
Hands-on AI Engineer to enhance and optimize Capgemini's AI platform built on Claude Sonnet and Model Context Protocol (MCP), focusing on improving AI agents, MCP servers/tools, enterprise integrations, RAG solutions, response quality, performance, security, and scalability. The role includes implementing monitoring, logging, security controls, troubleshooting agent/tool behavior, and supporting deployment, testing, and continuous enhancement of AI capabilities.
Skills for this role
PythonTypeScriptNode.jsLarge Language Models (LLMs)Generative AILangChainLangGraphSemantic KernelAI observabilityEvaluation frameworksPrompt optimizationModel Context Protocol (MCP)AI agentsTool callingClaudeOpenAIAPIsDatabasesEnterprise application integrationRetrieval-Augmented Generation (RAG)Vector databasesEmbeddingsPrompt engineeringMonitoringLoggingSecurityAuthenticationAccess controlPerformance optimizationDebugging troubleshooting skills (debuggingproblem-solving)