Cloud Data Migration & AI Systems Engineer

Overview Placement Type: N/A Salary: $43.70 Hourly Start Date: Apr 30, 2026 As 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 - 5pm Responsibilities: 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 environments Integrate and evaluate LLM/Generative AI components within workflows Perform system testing and validation: Execute test scenarios Identify edge cases and failure points Debug and analyze issues across systems Ensure data integrity, consistency, and performance across systems Document findings, insights, and recommendations clearly for stakeholders Collaborate with cross-functional teams across engineering, data, and product Required Qualifications: 5+ years of relevant experience with cloud platforms (GCP, AWS, or Azure) and data/storage systems Strong understanding of data migration processes and associated trade-offs Experience with data pipelines, ETL/ELT workflows, or distributed systems Hands-on exposure to LLMs / Generative AI (prompting, evaluation, or integration) Experience in system testing, validation, or QA Strong debugging and problem-solving skills Excellent written communication skills Nice to have: Background in storage administration, SRE, or cloud infrastructure operations Experience with MLOps, model evaluation frameworks, or AI testing workflows Familiarity with Google Cloud Storage (GCS) or similar platforms Experience working in Agile environments with cross-functional teams #LI-ES1