About this role
Build and ship end-to-end agentic generative AI systems and classical ML solutions, working with multimodal foundation models, agentic workflows, MCP, RAG pipelines, and cloud/MLOps infrastructure. Take ownership across full-stack development, deployment, monitoring, and evaluation to deliver scalable, reliable, and fair AI applications.
Skills for this role
PythonTypeScriptLangChainLangGraphAgentic systemsAI agentsMultimodal foundation modelsModel Context Protocol (MCP)Retrieval-Augmented Generation (RAG)Vector databasesGraph databasesSQLNoSQLSnowflakeData lakesAWSMulticloudMLOpsDevOpsCI/CDDockerInfrastructure as CodeAPI designAutomated testingExploratory Data Analysis (EDA)StatisticsFeature engineeringSynthetic data generationPrompt engineeringA/B testing``BLEU``ROUGE