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Cloud Data Migration & AI Systems Engineer

United States 43.70 USD / Hour · Job Posted May 04, 2026
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Job Description

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.

Job Responsibility

  • 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

Requirements

  • 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

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