AI Engineer II
San DiegoLast seen today
Summary
This role builds and operationalizes LLM-enabled capabilities (copilots, HR assistants, summarization, Q&A) using Claude/GPT/Gemini with secure endpoints and function calling. The engineer implements production ML patterns including RAG, embeddings, vector search, feature engineering, and real-time inference services. Responsibilities span data pipeline design, data quality governance, API/integration architecture across enterprise systems, and DevSecOps practices including CI/CD, infrastructure-as-code, and security controls. The candidate needs 2+ years each in LLM/GenAI solutions, RAG implementation, data/AI engineering, production inference services, platform/integration engineering, and security/compliance leadership.
CybersecurityData ScienceAIDockerKubernetesTerraformAPI DesignAudit LoggingBatch PipelinesCI CDClaudeCloudformationContainersData GovernanceData ModelingDevsecopsDocument ChunkingDocument ProcessingEmbeddingsEncryptionFeature EngineeringFeature ServingFunction CallingGeminiGenerative AIGptGraphQLIAMIdentity And Access ManagementInfrastructure As CodeLLM Large Language ModelsMachine LearningMicroservicesMonitoringObservabilityPrompt EngineeringRAG Retrieval Augmented GenerationReal Time InferenceRESTRetrieval Augmented GenerationSecrets ManagementServerlessStreaming PipelinesTool CallingVector Search