AI Engineer
San DiegoLast seen today
Summary
Build production AI features and workflows powered by large language models, including retrieval-augmented generation (RAG), agentic orchestration, and tool/function calling integrations. You will design and implement scalable microservices in Python or Java that connect foundation model APIs to business data and internal systems, with responsibility for AI quality, evaluation, observability, and safe deployment on AWS. Collaborate with cross-functional teams to prototype solutions, measure outcomes, and move proven capabilities into production while maintaining reliability, security, and auditability.
Data ScienceDevOps / InfrastructureAIAWSAzureJavaPythonAPI DesignArize PhoenixAWS BedrockAzure AI SearchCI CDCloudwatchDatadogDockerEmbeddingsFunction CallingInfrastructure As CodeLangChainLanggraphLangsmithLlamaindexMachine LearningMicroservicesN8nNew RelicObservabilityOpenAIOpensearchOpentelemetryPgvectorPineconePrompt EngineeringRAG Retrieval Augmented GenerationRedisSemantic KernelSplunkStructured OutputsTerraformTool CallingVector DatabasesWeaviate