About this role
Architect and build custom AI infrastructure and hardware solutions, optimizing performance, power consumption, cost and scalability while advising on technology and vendor selection and full-stack integration. Conduct applied AI research, prototype techniques (reasoning, planning, memory, retrieval, evaluation, adaptation, multimodal AI), design reproducible experiments and benchmarks, and convert validated methods into production-quality libraries and services.
Skills for this role
Large Language Models (LLMs)Machine LearningDeep LearningStatisticsExperimental DesignPythonModern model-development frameworksFoundation ModelsAgentic SystemsModel evaluationBehavior analysisExperiment reproducibilityVersioningHugging FaceWeights & BiasesMLflowLangSmithClaude CodeCodexCursorProduction-quality codeBenchmark creationFailure analysisAI infrastructure/hardware optimizationVendor evaluation and selectionSystem scalabilityPerformance benchmarkingMentoringPatent and publication contribution