Cloud Data Migration & AI Systems Engineer

Placement Type:N/ASalary:$43.70 HourlyStart Date:Apr 30, 2026As an Agentic Evaluation Specialist, you will work directly with researchers at a top 8 Frontier large language model company to improve LLM Agent performance specific for Agentic Storage Management.*Must be able to align to PST hours, 9am - 5pmResponsibilities:Data migration workflows across cloud platforms (AWS, GCP, Azure)Data migration strategies, considering trade-offs (online vs offline, performance, scalability)Creation & upkeep of data pipelines and ETL/ELT workflows in distributed environmentsIntegrate and evaluate LLM/Generative AI components within workflowsPerform system testing and validation:Execute test scenariosIdentify edge cases and failure pointsDebug and analyze issues across systemsEnsure data integrity, consistency, and performance across systemsDocument findings, insights, and recommendations clearly for stakeholdersCollaborate with cross-functional teams across engineering, data, and productRequired Qualifications:5+ years of relevant experience with cloud platforms (GCP, AWS, or Azure) and data/storage systemsStrong understanding of data migration processes and associated trade-offsExperience with data pipelines, ETL/ELT workflows, or distributed systemsHands-on exposure to LLMs / Generative AI (prompting, evaluation, or integration)Experience in system testing, validation, or QAStrong debugging and problem-solving skillsExcellent written communication skillsNice to have:Background in storage administration, SRE, or cloud infrastructure operationsExperience with MLOps, model evaluation frameworks, or AI testing workflowsFamiliarity with Google Cloud Storage (GCS) or similar platformsExperience working in Agile environments with cross-functional teams