Principal Engineer, NLP
San DiegoLast seen today
Summary
Principal Engineer leading NLP innovation at enterprise scale, responsible for developing retrieval-augmented generation architectures, agentic AI workflows, and production language systems that process petabytes of data. Design knowledge graphs, semantic layers, and ontology-aware language understanding systems while optimizing inference for latency and cost. Drive large-scale model improvements through prompt engineering, fine-tuning, and reinforcement learning, and mentor senior engineers to establish NLP best practices across the organization.
Data ScienceMachine LearningPythonAgentic AIAI ObservabilityConversational AIDeep LearningDistributed ComputingDistributed ML InfrastructureEmbedding ModelsEntity RecognitionFine TuningFoundation ModelsGraph Enhanced NLPHugging FaceInformation RetrievalJaxKnowledge ExtractionKnowledge GraphsLLM Large Language ModelsModel EvaluationNLPPrompt EngineeringPyTorchReasoning SystemsReinforcement LearningRelation ExtractionRepresentation LearningRetrieval Augmented GenerationSearch EnginesSemantic SearchSparkSynthetic Data GenerationTensorFlowTransformer ArchitecturesVector DatabasesVector Search