AI Engineer
San DiegoLast seen today
Summary
Build production AI features and services using foundation model APIs, retrieval-augmented generation (RAG), and agentic workflows. You will implement scalable microservices in Python or Java, develop evaluation and quality frameworks for AI systems, and collaborate across teams to integrate AI capabilities into enterprise workflows. The role requires hands-on applied AI experience, strong backend or platform engineering skills, and familiarity with vector databases, LLM orchestration tools, and cloud infrastructure.
Data ScienceDevOps / InfrastructureAIAWSAzureJavaPythonAgentic WorkflowsAI ObservabilityAPI DevelopmentArize PhoenixAWS BedrockAzure AI SearchCI CDCloudwatchContainersDatadogEmbeddingsGenerative AIGuardrailsHallucination MitigationHybrid SearchInfrastructure As CodeLangChainLangsmithLlamaindexMachine LearningMicroservicesModel EvaluationN8nOpenAIOpensearchOpentelemetryPgvectorPii HandlingPineconePrompt EngineeringRedisRerankingRetrieval Augmented Generation RAGSemantic KernelSplunkStructured OutputsTool Function CallingVector DatabasesWeaviate