Sr. Engineer, AI Platform Engineering
San DiegoLast seen 1 day ago
Summary
Lead end-to-end AI platform architecture and infrastructure at enterprise scale, designing and implementing generative AI capabilities including LLMs, RAG systems, and agentic AI with a focus on model serving, inference optimization, and production deployment. Establish MLOps/LLMOps best practices, build automated CI/CD pipelines tailored for AI/ML applications, and architect vector database integration and cloud AI/ML services. Mentor engineering teams, drive cross-functional collaboration between software, product, and data teams, and continuously evaluate and optimize AI platform performance, scalability, and reliability.
Data ScienceDevOps / InfrastructureAIAWSAzureDockerJavaKubernetesPythonAgentic AIAPI DesignCI CDDistributed SystemsEmbeddingsFoundation ModelsGenerative AIGoGoogle CloudInference OptimizationLlmopsLlmsMachine LearningMicroservicesMlopsModel ServingRAG Retrieval Augmented GenerationRaySRESystem Reliability EngineeringVector Databases